Audio Test for Earphones, Headphones, TWS, Neckbands, Smart Watches, and other Audio Products. Active Noise Cancellation (ANC) and Environmental Noise Cancellation (ENC) Description and Test Technology & Methodology.
DuPont Operations Manager, Paul Kirkpatrick, discussed DuPont’s step change in performance at the 2015 European Manufacturing Strategies Summit. Watch this presentation for an inside look at DuPont’s journey to world class.
SMART permet de se familiariser avec les indicateurs, KPI, et tableaux de bord : construction, cohérence, déclinaison des indicateurs, et contributions
This document discusses rapid improvement events (RIEs) and quick improvement methods for processes. It describes:
1) RIEs as a facilitated event lasting 3-5 days where a cross-functional team makes rapid improvements to an identified process problem. Documentation is completed during the event.
2) Quick improvements called "Just Do Its" that can bypass analysis and implement low-risk, fast changes identified early in a project using basic tools.
3) The criteria for "Just Do Its" as having minimal costs, low risk, quick implementation within 1-2 weeks, and authority to make the changes. Control plans must still be implemented after quick improvements.
Lean thinking aims to remove wastes from work processes. Before diving into the 8 wastes, it is important to understand what waste is. Waste is any action or step in a process that does not add value to the customer. In other words, waste is any process that the customer does not want to pay for. The original seven wastes (Muda) was developed by Taiichi Ohno, the Chief Engineer at Toyota, as part of the Toyota Production System (TPS). The seven wastes are Talent, Inventory, Motion, Waiting, Overproduction, Over processing and Defects. They are often referred to by the acronym ‘TIMWOOD’.
The 8th waste of non-utilized talent or ‘Skills’ of workers was later introduced in the 1990s when the Toyota Production System was adopted in the Western world. As a result, the 8 wastes are commonly referred to as ‘TIMWOODS’.
This document discusses systematically improving sales forecast accuracy. It outlines implementing a buyer-aligned sales process with clear stage definitions and expectations. Forecast guidelines would define categories like "won", "commit", and "probable". Analytics would replace spreadsheets to provide visual insights into opportunities and compare salespeople. The goals are to embed the sales process into CRM, provide management by exception, and improve forecast accuracy through discipline, process, and rigor.
DuPont Operations Manager, Paul Kirkpatrick, discussed DuPont’s step change in performance at the 2015 European Manufacturing Strategies Summit. Watch this presentation for an inside look at DuPont’s journey to world class.
SMART permet de se familiariser avec les indicateurs, KPI, et tableaux de bord : construction, cohérence, déclinaison des indicateurs, et contributions
This document discusses rapid improvement events (RIEs) and quick improvement methods for processes. It describes:
1) RIEs as a facilitated event lasting 3-5 days where a cross-functional team makes rapid improvements to an identified process problem. Documentation is completed during the event.
2) Quick improvements called "Just Do Its" that can bypass analysis and implement low-risk, fast changes identified early in a project using basic tools.
3) The criteria for "Just Do Its" as having minimal costs, low risk, quick implementation within 1-2 weeks, and authority to make the changes. Control plans must still be implemented after quick improvements.
Lean thinking aims to remove wastes from work processes. Before diving into the 8 wastes, it is important to understand what waste is. Waste is any action or step in a process that does not add value to the customer. In other words, waste is any process that the customer does not want to pay for. The original seven wastes (Muda) was developed by Taiichi Ohno, the Chief Engineer at Toyota, as part of the Toyota Production System (TPS). The seven wastes are Talent, Inventory, Motion, Waiting, Overproduction, Over processing and Defects. They are often referred to by the acronym ‘TIMWOOD’.
The 8th waste of non-utilized talent or ‘Skills’ of workers was later introduced in the 1990s when the Toyota Production System was adopted in the Western world. As a result, the 8 wastes are commonly referred to as ‘TIMWOODS’.
This document discusses systematically improving sales forecast accuracy. It outlines implementing a buyer-aligned sales process with clear stage definitions and expectations. Forecast guidelines would define categories like "won", "commit", and "probable". Analytics would replace spreadsheets to provide visual insights into opportunities and compare salespeople. The goals are to embed the sales process into CRM, provide management by exception, and improve forecast accuracy through discipline, process, and rigor.
Overview on the Toyota production system principles, techniques and theories.
The presentation include:
-Lean Manufacturing Principles
-Productivity Measurement, Analysis and Improvement
-Effect & Elimination of the Manufacturing 7-Wastes
-Lean Improvement Techniques
-Lean Management for Making Improvement & Gaining Sustainability
L’objectif de cette présentation est de vous montrer les outils couramment utilisés lors d’une démarche Lean afin de vous donner envie d’aller plus loin.
Sommaire de la présentation :
- Les bases du Lean
- Des outils au service d’une démarche
- Les outils de l’amélioration du flux
- Les outils de l’amélioration de la variabilité
- Les outils du pilotage
La mise en place d'un projet d'amélioration continue ne garantie pas un succès dans cent pout cent
des cas. L'expérience permet aujourd'hui de pouvoir identifier, anticiper et réduire ces risques pour
maximiser les chances de succès. Je propose de décrire quelques unes de ces bonnes pratiques afin
de justifier et d'illustrer le plan proposé.
L'Amélioration Continue : une pratique qui profite à tousLITTLE FISH
L'Amélioration Continue : une pratique qui profite à tous - Qui est concerné - Qu'est-ce que l'Amélioration Continue - Modèle d'amélioration et système intégré - Applications pour soi, et pour l'entreprise - Outils et Bonnes Pratiques.
La littérature spécialisée fait état d’une multitude d’outils à utiliser pour traiter des projets Lean Six Sigma, au risque de décourager le futur candidat Yellow, Green ou Black Belt. Dans certaines entreprises, l’utilisation d’un jargon d’initiés a eu l’effet contreproductif d’exclure les bonnes volontés au lieu de favoriser le travail de groupes.
L’objectif de cette présentation est de faire un panorama des principaux outils du Lean Six Sigma, afin de mieux comprendre comment la démarche DMAIC permet d’améliorer les performances au sein des entreprises manufacturières et de Services.
Sommaire de la présentation :
1. État d’esprit de la démarche Lean Six Sigma
2. Qu’est-ce que le Lean ? Le Six Sigma ? Le Lean Six Sigma ?
3. Lean Six Sigma : DMADV et DMAIC
4. Les principaux outils du DMAIC
Logistique : Ensemble des opérations et des supports nécessaires à la gestion des flux physiques, financiers et d'information sur l'ensemble de la chaîne de l'offre (ou de la communication).
Tableau de bord, outil de pilotage du dirigeant d'entreprisePascal Méance
Les fondamentaux: 6 qualités, 6 étapes, 6 points clés pour construire un tableau de bord.
Présentation mise à jour pour un groupe PLATO réunissant des chefs d'entreprise en Centre-Bretagne.
TQM Strategy for Continual Improvements – the SRF Way” by S. Illango (Associa...Dubai Quality Group
Keynote presentation by S. Illango (Associate Vice President-TQM, SRF) titled “TQM Strategy for Continual Improvements – the SRF Way” at the 3rd Continual Improvement & Innovation Symposium organized by Dubai Quality Group's Continual Improvement Subgroup to celebrate World Quality Day 2011
Dans le cadre de la 4eme édition de la semaine de l'emploi, FrenchWeb.fr dresse la liste des ESN (ex SSII) et agences opérant en régie, spécialisés dans le numérique
Une Supply chain peut être complexe, faire intervenir un grand nombre d’acteurs, et avoir un temps de traversée long. Pour que le client ou consommateur final soit livré en temps et heure, cela requiert que chaque maillon soit maîtrisé en termes de qualité et de délai, cela dans une logique d’optimisation globale.
Un diagnostic va nous permettre de cartographier les flux d’information, les temps de traversée, d’identifier les goulots afin d’évaluer notre flexibilité et notre capacité à répondre à la demande client avec toutes ses variations. La gestion de la capacité, des stocks et la planification vont être des éléments clés pour piloter.
Le Lean et le DDMRP vont vous donner les concepts et les outils pour optimiser vos flux, les piloter et pour manager la performance.
Sommaire de la présentation:
- Introduction : la recherche d'un optimum global
- Diagnostiquer une supply chain
- Accélérer le flux par du Lean
- Accélérer le flux avec DDMRP
- Conclusion
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
A review of Noise Suppression Technology for Real-Time Speech EnhancementIRJET Journal
This document summarizes research on noise suppression technology for real-time speech enhancement. It discusses how noise suppression has gained interest due to advances in deep learning techniques. It describes how noise suppression works by using multiple microphones to capture audio signals, which are then processed using algorithms to separate and suppress background noises while enhancing speech. Deep learning has achieved promising results for noise suppression by training models to detect human voice between different input noises. The document also reviews conventional uses of noise suppression in devices and limitations, and how using deep learning allows for more effective separation of noise from sound signals.
Overview on the Toyota production system principles, techniques and theories.
The presentation include:
-Lean Manufacturing Principles
-Productivity Measurement, Analysis and Improvement
-Effect & Elimination of the Manufacturing 7-Wastes
-Lean Improvement Techniques
-Lean Management for Making Improvement & Gaining Sustainability
L’objectif de cette présentation est de vous montrer les outils couramment utilisés lors d’une démarche Lean afin de vous donner envie d’aller plus loin.
Sommaire de la présentation :
- Les bases du Lean
- Des outils au service d’une démarche
- Les outils de l’amélioration du flux
- Les outils de l’amélioration de la variabilité
- Les outils du pilotage
La mise en place d'un projet d'amélioration continue ne garantie pas un succès dans cent pout cent
des cas. L'expérience permet aujourd'hui de pouvoir identifier, anticiper et réduire ces risques pour
maximiser les chances de succès. Je propose de décrire quelques unes de ces bonnes pratiques afin
de justifier et d'illustrer le plan proposé.
L'Amélioration Continue : une pratique qui profite à tousLITTLE FISH
L'Amélioration Continue : une pratique qui profite à tous - Qui est concerné - Qu'est-ce que l'Amélioration Continue - Modèle d'amélioration et système intégré - Applications pour soi, et pour l'entreprise - Outils et Bonnes Pratiques.
La littérature spécialisée fait état d’une multitude d’outils à utiliser pour traiter des projets Lean Six Sigma, au risque de décourager le futur candidat Yellow, Green ou Black Belt. Dans certaines entreprises, l’utilisation d’un jargon d’initiés a eu l’effet contreproductif d’exclure les bonnes volontés au lieu de favoriser le travail de groupes.
L’objectif de cette présentation est de faire un panorama des principaux outils du Lean Six Sigma, afin de mieux comprendre comment la démarche DMAIC permet d’améliorer les performances au sein des entreprises manufacturières et de Services.
Sommaire de la présentation :
1. État d’esprit de la démarche Lean Six Sigma
2. Qu’est-ce que le Lean ? Le Six Sigma ? Le Lean Six Sigma ?
3. Lean Six Sigma : DMADV et DMAIC
4. Les principaux outils du DMAIC
Logistique : Ensemble des opérations et des supports nécessaires à la gestion des flux physiques, financiers et d'information sur l'ensemble de la chaîne de l'offre (ou de la communication).
Tableau de bord, outil de pilotage du dirigeant d'entreprisePascal Méance
Les fondamentaux: 6 qualités, 6 étapes, 6 points clés pour construire un tableau de bord.
Présentation mise à jour pour un groupe PLATO réunissant des chefs d'entreprise en Centre-Bretagne.
TQM Strategy for Continual Improvements – the SRF Way” by S. Illango (Associa...Dubai Quality Group
Keynote presentation by S. Illango (Associate Vice President-TQM, SRF) titled “TQM Strategy for Continual Improvements – the SRF Way” at the 3rd Continual Improvement & Innovation Symposium organized by Dubai Quality Group's Continual Improvement Subgroup to celebrate World Quality Day 2011
Dans le cadre de la 4eme édition de la semaine de l'emploi, FrenchWeb.fr dresse la liste des ESN (ex SSII) et agences opérant en régie, spécialisés dans le numérique
Une Supply chain peut être complexe, faire intervenir un grand nombre d’acteurs, et avoir un temps de traversée long. Pour que le client ou consommateur final soit livré en temps et heure, cela requiert que chaque maillon soit maîtrisé en termes de qualité et de délai, cela dans une logique d’optimisation globale.
Un diagnostic va nous permettre de cartographier les flux d’information, les temps de traversée, d’identifier les goulots afin d’évaluer notre flexibilité et notre capacité à répondre à la demande client avec toutes ses variations. La gestion de la capacité, des stocks et la planification vont être des éléments clés pour piloter.
Le Lean et le DDMRP vont vous donner les concepts et les outils pour optimiser vos flux, les piloter et pour manager la performance.
Sommaire de la présentation:
- Introduction : la recherche d'un optimum global
- Diagnostiquer une supply chain
- Accélérer le flux par du Lean
- Accélérer le flux avec DDMRP
- Conclusion
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
A review of Noise Suppression Technology for Real-Time Speech EnhancementIRJET Journal
This document summarizes research on noise suppression technology for real-time speech enhancement. It discusses how noise suppression has gained interest due to advances in deep learning techniques. It describes how noise suppression works by using multiple microphones to capture audio signals, which are then processed using algorithms to separate and suppress background noises while enhancing speech. Deep learning has achieved promising results for noise suppression by training models to detect human voice between different input noises. The document also reviews conventional uses of noise suppression in devices and limitations, and how using deep learning allows for more effective separation of noise from sound signals.
This document describes a project to develop an accelerometer-based contact microphone system to enable voice communication in high noise environments. The system uses accelerometers placed on the head to capture vocal vibrations, a Teensy board to perform signal processing including fast Fourier transforms and filtering, and voice recognition software to match the vocal signals to text. The goal is to filter out background noise so voices can be clearly understood. Potential applications include military, industrial, firefighting and other fields where loud noise makes communication difficult. The system was tested in various noisy conditions and showed effectiveness in distinguishing voices from background noise.
Effect of Speech enhancement using spectral subtraction on various noisy envi...IRJET Journal
This document discusses speech enhancement techniques using spectral subtraction. It begins with an abstract discussing analysis modification synthesis (AMS) and various speech enhancement features. It then discusses conventional spectral subtraction which estimates noise spectra and subtracts it from noisy speech spectra. Experimental evaluation uses the NOIZEUS speech corpus with noise at various signal-to-noise ratios. Objective measures like PESQ, Csig and Covl scores show the proposed method effectively reduces noise. Spectrogram analysis demonstrates noise reduction at lower frequencies. The document concludes spectral subtraction methods can improve speech quality in noisy environments.
Performance enhancement of dct based speaker recognition using wavelet de noi...eSAT Journals
Abstract Presence of noise in the speech signal is one of the major problems in Speaker Recognition. The speaker recognition performance gradually degrades as the intensity of noise increases. The system gives high accuracy when the speech signal is noise free, but in real life scenario getting a noise free speech signal is challenging. Hence, elimination of the noise from speech signal is an important aspect in speaker recognition process. This work uses wavelet based denoising of the recorded speech signal in order to enhance the performance of speaker recognition. In this paper, wavelet based denoising technique has been applied to the DCT based speaker recognition system which was proposed in our previous work. Additive white Gaussian noise has been added to the speech signal and performance analysis of the system has been done using different SNR value. Keywords: Wavelet denoising, AWGN, Speaker Recognition, Thresholding, DCT, Feature Extraction.
ICR is a company located in Barcelona that provides acoustic and vibration engineering services. It was founded in 1995 by professionals with over 20 years of experience in vibro-acoustics. ICR offers solutions to noise and vibration problems for industries like railways, automotive, wind power, and construction. The company has PhD's, physicists, and engineers on staff that allow it to analyze vibro-acoustic problems from different perspectives. ICR provides services like noise measurements, vibration analysis, environmental impact studies, and software development to solve clients' noise and vibration issues.
Unwelcomed workplace noise disrupts concentration, decreases productivity and increases stress amongst your associates according to a recent University of California study. And these are challenges that are being over-looked in even the most modern of working environments.
This guide illustrates the key acoustic challenges and the measures needed to minimise their effect on your smarter working environment.
silent sound technology final report(17321A0432) (1).pdfssuser476810
The document is a seminar report on silent sound technology submitted by Divya Alugubelli. It discusses the need for silent sound technology, which allows communication without noise pollution by detecting lip movements and converting them to sound signals. The report covers two main methods - electromyography and image processing. Electromyography monitors tiny muscle movements during speech and converts them to electrical pulses that can be translated to sound. Image processing techniques detect lip movements through a webcam and analyze the images. The technology has applications in helping those who have lost their voice and allows silent calling without disturbing others.
ACTIVE NOISE CANCELLATION IN A LABORATORY DUCT USING FUZZY LOGIC AND NEURAL ...Rishikesh .
The main goal of this paper is to present a simulation scheme to simulate an adaptive filter using LMS (Least mean square) adaptive algorithm for noise cancellation. The main objective of the noise cancellation is to estimate the noise signal and to subtract it from original input signal plus noise signal and hence to obtain the noise free signal. There is an alternative method called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference. This method uses a primary input signal that contains the speech signal and a reference input containing noise. The reference input is adaptively filtered and subtracted from the primary input signal to obtain the estimated signal. In this method the desired signal corrupted by an additive noise can be recovered by an adaptive noise canceller using LMS (least mean square) algorithm. This adaptive noise canceller is useful to improve the S/N ratio. Here we estimate the adaptive filter using Labview /MATLAB/SIMULINK environment . For achieving the goal we also use modern algorithms like ANFIS, FIS and Neural Network and compare the PSD of all the algorithms.
ICR is a company that provides acoustic and vibration engineering services. It was established in 1995 by experts in acoustics and has experience with national and international projects. ICR uses both theoretical knowledge and practical testing to understand problems and find solutions. It has up to 48 channels to simultaneously measure noise and vibrations in real-time. ICR provides services across various sectors including railway, wind power, and building acoustics.
INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYijsc
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal
component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for
Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
the features of the sample sound and detect the anomality. In this project, 228 sets of normal sounds and
100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
of 0.499545351, of Incremental PCA based DBSCAN clustering of 0.636348073, of Incremental based
PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
of the new methodology is 15 minutes in the CPU computing module of 2.3 GHz quad-core processors,
comparing with that of DCGAN with 90 minutes in GPU computing module of 4 to 8 kernels.
IoT BASED REAL TIME AIR AND NOISE POLLUTION ALERT SYSTEM FOR ASTHMA AND ANGIN...IRJET Journal
This document describes an IoT-based system to monitor air and noise pollution levels in real-time and alert asthma and angina patients when thresholds are exceeded. The system uses sensors to measure pollution levels, a NodeMCU microcontroller to process the data, and a Blynk app to display results to users. When pollution levels surpass safety limits based on measurements from the MQ-7, MQ-135 gas sensors and KY-037 sound sensor, alerts are sent. The system is low-cost, portable and helps authorities and the public make informed decisions to control pollution.
IRJET- Survey on Efficient Signal Processing Techniques for Speech EnhancementIRJET Journal
This document provides a survey of various speech enhancement techniques. It discusses five papers that propose different speech enhancement algorithms: 1) Discrete Tchebichef Transform and Discrete Krawtchouk Transform for removing noise using minimum mean square error. 2) Empirical mode decomposition and adaptive centre weighted average filtering that is effective for removing noise components. 3) Adaptive Wiener filtering that adapts the filter transfer function based on speech signal statistics. 4) Compressive sensing based speech enhancement that handles non-sparse noise. 5) Wavelet packet transform and non-negative matrix factorization to emphasize the speech components in each sub-band. The document also discusses speech enhancement using deep neural networks, empirical mode decomposition with Hurst exponent
This document presents a study on using acoustic signal analysis to detect faults in bearings. The study develops an experimental setup to acquire acoustic signals from bearings under different conditions, including with and without defects. The acoustic signals are processed using techniques like fast Fourier transforms and wavelet transforms to extract information about faults. Signals are analyzed from bearings with no defects, misalignment, looseness, missing balls, and combinations of defects. Results show the acoustic signal energy at different frequencies for healthy and faulty bearings. This acoustic signal analysis technique can be used to detect bearing faults and failures.
Review Paper on Noise Reduction Using Different TechniquesIRJET Journal
This document reviews different techniques for noise reduction in hearing aids. It discusses how digital hearing aids use algorithms like fast Fourier transforms and adaptive filters to separate speech from noise and improve speech comprehension in noisy environments. The document also evaluates different noise reduction algorithms and filter bank designs that have been proposed in previous research to enhance the noise reduction capabilities of hearing aids. The goal of developing improved noise reduction for hearing aids is to help hearing-impaired individuals better understand speech in various real-world settings with background noise.
Development of Algorithm for Voice Operated Switch for Digital Audio Control ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
IRJET- Hearing Loss Detection through Audiogram in Mobile DevicesIRJET Journal
This document describes a mobile application called HearAssist that detects hearing loss through audiograms on mobile devices. The app aims to create accurate audiogram reports for users by playing tones of varying frequencies and intensities and having users respond if they can hear each one. The reports are stored in a database to analyze trends in hearing capabilities across age groups. The app aims to make audiogram testing more accessible and convenient compared to traditional methods by generating reports on a mobile device from the comfort of home.
IRJET- Controlling Techniques of Noise Pollution in the Forging IndustryIRJET Journal
This document discusses noise pollution control techniques for a forging industry. It begins by measuring noise levels from various machines like mechanical presses and drop hammers, finding levels from 92-104 dB, above safety limits. It then describes several noise control methods like equipment modifications, administrative controls, shields/barriers, enclosures, curtains, and louvers. The goal is to reduce worker exposure to hazardous noise levels through engineering and process changes.
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by using electromyography to detect tiny muscle movements involved in speech and processing images of a person's mouth and face. The technology was first conceptualized in a 1968 film and is now being developed to allow "lost calls" in noisy environments to be answered silently. Potential applications include helping mute people communicate, secretly transmitting PIN numbers, and covert military communications. The technology is expected to be incorporated into phones and improve as nanotechnology advances.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
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1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Audio Test for TWS Earphone
1. Equips engineers to create better products
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Consumer Electronics Testing
Related
Audio Test for TWS Earphone
MegaSig Measurement & Control Technology Co. Ltd.
www.megasig.com
2. Equips engineers to create better products
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Update Date Responsible Description
2022.11.10 Jiang Weiyuan First Draft
Table of Contents
1、The development history of TWS headphones.............................................................................................. 3
2、Introduction to the concept of ENC/ANC......................................................................................................3
2.1、ENC Concept.......................................................................................................................................3
2.2、ANC concept....................................................................................................................................... 4
3、ENC and ANC test solutions..........................................................................................................................5
3.1、ENC test solution.................................................................................................................................5
3.2、ANC test solution.............................................................................................................................. 11
3. Equips engineers to create better products
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1. The development history of TWS earphones
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless
stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only
suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first
batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was
not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth
5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, The "True
Wireless" Bluetooth smart headset has ushered in the outbreak.
2.2 Introduction to the concept of ENC/ANC
2.1 ENC Concept
Active noise cancellation and environment noise cancellation are different noise cancellation
technologies. Active noise cancellation is to offset ambient environment noise to the greatest extent,
allowing people using headphones to enjoy a quiet environment, while environment noise
cancellation is an application in the other direction, it allows people using noise-canceling
headphones to make a call on the side of a noisy road, on a speeding motorcycle, in a moving car
with music on, or in a car with windows open. The person on the other side of the phone can hear
your speech clearly, and the noise basically does not pass. Simply it means, active noise
cancellation means that people who use headphones feel better, and environment noise
cancellation means that people on the other end of the phone feel better.
4. Equips engineers to create better products
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2.2 ANC concept
With the development of TWS technology, another equally popular technology is ANC (Active Noise
Cancellation), which is active noise cancellation, a kind of noise reduction technology applied in the
headphones for noise reduction.
The ANC noise reduction technology analyzes the sound waves of the noise, and then
superimposes and neutralizes them by sending reverse sound waves, so as to achieve the effect of
eliminating noise. The advantage is that the control effect of low-frequency noise is remarkable, and
it can effectively isolate low-frequency noise and reduce the impact of noise on people's health. In
general, the effective frequency of ANC active noise cancellation is between 50Hz and 2kHz. For
noise exceeding 2KHz, noise-cancellation headphones can reduce it by using passive methods
through the structural design and material selection of the headphones.
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3 ENC and ANC test solutions
Different noise cancellation solutions bring users a different noise cancellation experience, MegaSig
can provide customers and partners with a complete test instrument and system solutions from
research and development to mass production.
3.1 ENC test solution
First let's take a look at ENC's test solutions
There are 3 main technologies for noise reduction in calls:
1,Beam-forming directional enhancement technology
2,Adaptive filtering technology
3,Uplink bone conduction technology
These three technologies are not new. Our mobile phones have two microphones (one is next to the
charging port and the other is next to the camera), which have been silently helping us make calls
and noise reduction for many years (so, sometimes we are accustomed to turning off the earphones
and using the mobile phone directly when making a phone call with earphones for fear of being
unclear. This is the main reason).
The essence of uplink bone conduction technology is to transmit the call content by collecting the
vibration signal of face or vocal cord. The noise conduction medium is air, and the vibration of your
face or vocal cords are directly collected by the acceleration sensor, which can isolate the
environmental noise. This technology is widely used in the military, making a phone call in a tank or
in a helicopter.
3.1.1 Environmental Noise Cancellation effect test in the Research and
Development stage
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a) Environmental Noise Cancellation of Beam-forming algorithm in research and
development stage
The following figure shows the effect of TWS headphones with Beam-forming in our office.
The system architecture is in the figure below. We use the turntable TT625 to measure the HFP
transmission energy of each angle of the earphone. If we use the frequency sweep signal, it can be
considered that the adaptive filter has not converged yet, i.e., the received signal can be considered
to be enhanced by beam-forming only.
7. Equips engineers to create better products
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b) Adaptive filtering algorithm in R&D stage
During R&D testing not only needs to quantify the beam-forming effect, but also needs to carry out
the convergence effect of the adaptive filter, and even test the convergence time. Both of them are
supported by AudioExpert platform.
c) Bone conduction technology in the R&D stage
Bone conduction can be divided into uplink/downlink bone conduction call technology, the
former is to allow the other party to hear clearly, and the latter is to allow yourself to hear clearly. We
will focus on the uplink bone conduction technology.
In the process of talking, the sound of our own speech is the useful signal we really want to
transmit, but in addition, there are various noises generated by machinery and equipment, wind
noise, surrounding people, etc., which can be called Noise signals.
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The essence of the uplink bone conduction technology is to collect the vibration signal of the cheek
by inserting an acceleration sensor chip into the earphone and transmit the effective signal as the
content of the call. The conduction (air conduction) of the ambient noise depends on the microphone,
so it will not be collected by the acceleration sensor, which can achieve the effect of air conduction
noise filtering.
When we speak, in addition to the vibration of the face, the vibration of the bridge of the nose is also
relatively strong, so this technology is not only used in the field of headsets, but also in VR or AR
smart wearable devices to improve the effect of calls.
From the test of the uplink bone conduction call technology, it can be divided into three parts: the
incoming IQC chip test, the semi-finished bone voiceprint test and the finished bone voiceprint test.
The following three tests are supported and compatible with our MegaSig system.
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3.1.2 Test of call noise reduction effect in mass production
Over the past two years, MegaSig has supported batches of headsets with ENC function and mass
production testing of TWS earphones with ENC function. Now we will introduce the accumulated
experience to you.
There are 3 main testing methods for mass production:
1, Signal-to-noise ratio test
2, Loop test
3, Switch test
There are advantages and disadvantages to these three methods, and the system of MegaSig
supports them seamlessly. The analysis and introduction are below.
1) Signal-to-Noise Ratio test
This method does not require the support of the chip manufacturer's instructions, and basically, any
instrument can support it, and the measurement environment is similar to the real-time environment,
and the noise reduction data tested is close to the real effect. However, because the algorithm is
always on, it is easy to be disturbed by the environment, and the test data is not very stable.
Sometimes it needs to be retested to pass, and it takes some time to wait for convergence, so the
test efficiency and yield are relatively low.
2) Loop test
This method requires the support of chip manufacturers or solution providers and have to control the
DUT. Moreover, in the form of TWS, it does not support too many thimble points, so SPP or BLE
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protocol is generally used. However, since this test method strips the influence of the algorithm, it is
possible to measure the quality and assembly errors of the dual microphones. The consistency is
very high, there is no convergence time, and the test efficiency is also high. High-end brands also
pay attention to ENC quality, basically will tend to use this method. At present, MegaSig’s system
can support the DUT control of the general Bluetooth chips on the market.
3) Switch test
In this method, the penetration effect of noise energy is tested through the switch of the DUT.
Since this test has only one angle, the noise suppression capability of beam-forming is basically
ignored, the DUT command is also required, and the convergence time is required, so this
method is least recommended for mass production. However, it is recommended to use it in the
research and development stage to test the effect of the adaptive filter, and some manufacturers
choose this method in the early mass production test of single-mic noise reduction.
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3.2 ANC test solution
The noise reduction effect of ANC noise-canceling headphones is determined by two aspects, one is
the design of the filter chain of the product, and the other is a series of noise reduction gain values of
the product. In the R&D stage, the filter chain design has been finalized and will not be changed in
the mass production stage. However, due to the difference in the quality of incoming materials for
the microphone unit and the speaker unit, as well as the cavity difference generated during the
assembly process, to make up for these tolerance and achieve the target noise reduction effect and
balance the noise reduction effect, during mass production, the noise reduction gain value needs to
be fine-tuned and modified, and the noise reduction effect can be tested online. The traditional
method is to manually adjust the gain, manually verify it until it meets the noise reduction effect, and
then manually burn it.
AudioExpert's ANC option supports all mainstream noise reduction solutions on the market, as well
as automated testing and burning systems. MegaSig cooperates with first-class ODM
manufacturers and solution providers and has successfully pushed this system to R&D and Mass
production, creating value for customers stably and efficiently.
The system also supports the measurement of key electro-acoustic parameters that are concerned
in the production process of headphones, microphones, and other components when the ANC
function is turned off. It is a one-stop test system.
The software parameter configuration of the system is simple and fast, the testing process is fast
and accurate, the production efficiency is maximized, the product quality is guaranteed, and the
company wins the time and the trust of the customers, and finally obtains a larger order and
achieves a win-win situation.