For communicators who cannot touch a screen, augmentative and alternative communication (AAC) may require alternative access, such as switch scanning, eye gaze, or part
Grammarly AI-NLP Club #4 - Understanding and assessing language with neural n...Grammarly
Speaker: Marek Rei, Senior Research Associate, University of Cambridge
Summary: The number of people learning English around the world is currently estimated at 1.5 billion and is predicted to exceed 1.9 billion by 2020. The increasing need to communicate beyond borders has created a large unmet demand for qualified language teachers across the globe. Computational models for error detection and essay scoring can alleviate this issue by giving millions of people access to affordable learning resources. Successful systems for automated language teaching will need to analyse language at various levels of granularity and provide useful feedback to individual students.In this talk, we will explore some of the latest approaches to written language assessment, using neural architectures for composing the meaning of a sentence or text, and also discuss potential future directions in the field.
Speech given by Mark Billinghurst at the AWE 2014 conference on how to use multimodal speech and gesture interaction with Augmented Reality applications. Talk given on May 28th, 2014.
How effective is speech recognition software for improving pronunciation skillsBindi Clements
For a summary of the research and link to published research paper: https://www.wallstreetenglish.com/blog/speech-recognition-for-improving-pronunciation-skills/
Investigating Teachers' Perceptions of FluencyEllen Head
Summary of research into fluency in foreign language, with results of a small-scale replication study to find out what teachers think is important when assessing fluency. Sound files can be found on Soundcloud User 928438004 uploads of sample 1, 2 and 3.
For communicators who cannot touch a screen, augmentative and alternative communication (AAC) may require alternative access, such as switch scanning, eye gaze, or part
Grammarly AI-NLP Club #4 - Understanding and assessing language with neural n...Grammarly
Speaker: Marek Rei, Senior Research Associate, University of Cambridge
Summary: The number of people learning English around the world is currently estimated at 1.5 billion and is predicted to exceed 1.9 billion by 2020. The increasing need to communicate beyond borders has created a large unmet demand for qualified language teachers across the globe. Computational models for error detection and essay scoring can alleviate this issue by giving millions of people access to affordable learning resources. Successful systems for automated language teaching will need to analyse language at various levels of granularity and provide useful feedback to individual students.In this talk, we will explore some of the latest approaches to written language assessment, using neural architectures for composing the meaning of a sentence or text, and also discuss potential future directions in the field.
Speech given by Mark Billinghurst at the AWE 2014 conference on how to use multimodal speech and gesture interaction with Augmented Reality applications. Talk given on May 28th, 2014.
How effective is speech recognition software for improving pronunciation skillsBindi Clements
For a summary of the research and link to published research paper: https://www.wallstreetenglish.com/blog/speech-recognition-for-improving-pronunciation-skills/
Investigating Teachers' Perceptions of FluencyEllen Head
Summary of research into fluency in foreign language, with results of a small-scale replication study to find out what teachers think is important when assessing fluency. Sound files can be found on Soundcloud User 928438004 uploads of sample 1, 2 and 3.
This an overview of ELSA's proprietary speech recognition technology. Find out how voice technology can help with language learning, and what differentiates ELSA's model from the others.
• COMMUNICATEBUSINESS VISION• WHAT TO EXPECT• .docxodiliagilby
• COMMUNICATE
BUSINESS VISION
• WHAT TO EXPECT
• MODIFY THE PLANS IT
CANNOT REALISTICALLY SUPPORT
• MUST BE INVOLVED
• STARTS WITH A STRATEGY
• DEVELOP MORE SPECIFIC
GOALS
• REQUIREMENTS MUST BE DETERMINED
FOR EACH GOAL
•
• HARDWARE
• SOFTWARE
• NETWORK
• DATA
• WHAT-WHO-WHERE
Component What Who Where
Hardware What hardware does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Software What software does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Network What networking does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Data What data does the
organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
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Access Tool Ubiquity Advantages Disadvantages
Physical locks Very high • Excellent if guarded • Locks can be picked
• Physical Access is often not needed
• Keys can be lost
Passwords Very high • User acceptance &
familiarity
• Ease of use
• Mature practices
• Poor by themselves
• Sometimes forgotten
• Sometimes stolen from users using
deception or key loggers
Biometrics Medium • Can be reliable
• Never forgotten
• Cannot be stolen
• Can be inexpensive
• False positives/negatives
• Some are expensive
• Some might change (e.g., voice)
• Lost limbs
• Loopholes (e.g., photo)
Access Tool Ubiquity Advantages Disadvantages
Challenge
questions
Medium (high
in banking)
• Not forgotten
• Multitude of questions
can be used
• Social networking might reveal some
answers
• Personal knowledge of an individual
might reveal the answers
• Spelling might not be consistent
Token Low • Stolen passkey is useless
quickly
• Requires carrying a device
Text message Medium • Stolen passkey is useless
• Mobile phone already
owned by users
• Useful as a secondary
mechanism too
• Requires mobile phone ownership by all
users
• Home phone option requires speech
synthesis
• Requires alternative access control if
mobile phone lost
Multi-factor
authentication
Medium • Stolen password is
useless
• Enhanced security
• Requires an additional technique if one of
the two fails
• Temptation for easy password
Tool Ubiquity Advantages Disadvantages
Antivirus/
antispyware
Very high • Blocks many known threats
• Blocks some “zero-day”
threats
• Slow down operating system
• “Zero day” threats can be
missed
Firewall High • Can prevent some targeted
traffic
• Can only filter known threats
• Can have well-known “holes”
System logs Very high • Can reveal ...
The effects of learner characteristics and beliefs on usage of ASR-CALL systemsBindi Clements
Computer Assisted Language Learning (CALL) has seen a rise in recent years of software applications that use Automatic Speech Recognition (ASR) to provide pronunciation feedback for language learners. ASR-CALL systems process large amounts of natural language data to provide immediate and individual feedback on the pronunciation accuracy of recorded learner utterances. In order for ASR-CALL systems to be implemented successfully and become effective tools for pronunciation training, understanding learner beliefs and perceptions about pronunciation and technology is key. While recent studies have investigated levels of learner satisfaction and engagement with ASR-CALL systems, little research has been done to date which investigates specific learner characteristics and beliefs which affect learner usage of ASR-CALL systems.
Wall Street English (WSE) currently has over 180,000 learners in 28 countries, and provides adult learners with a bespoke, blended-learning programme where students complete self-study interactive multimedia lessons before attending teacher-led classes. WSE have built activities within the multimedia self-study component of the course that allow students to record phrases and receive word-level ASR-driven feedback on pronunciation accuracy. For the current study, all students enrolled in selected WSE centres in China, Vietnam, Saudi Arabia and Italy had the opportunity over a four week period to complete these CALL-ASR activities. Students were able to retry each phrase a number of times in order to improve their pronunciation, received ASR-driven feedback on each retry, and were provided with a model audio with which to compare their own recorded attempts. The data presented in this study is drawn from three sources: an analysis of the anonymised study data from the 2,867 students from the countries mentioned above; survey data from 485 of these students; and individual qualitative interviews with 58 of these students.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An optimized approach to voice translation on mobile phoneseSAT Journals
Abstract Current voice translation tools and services use natural language understanding and natural language processing to convert words. However, these parsing methods concentrate more on capturing keywords and translating them, completely neglecting the considerable amount of processing time involved. In this paper, we are suggesting techniques that can optimize the processing time thereby increasing the throughput of voice translation services. Techniques like template matching, indexing frequently used words using probability search and session-based cache can considerably enhance processing times. More so, these factors become all the more important when we need to achieve real-time translation on mobile phones. Keywords:-Optimized voice translation, mobile client, speech recognition, language interpretation, template matching, probability search, session- based cache.
To Label or Not? Advances and Open Challenges in SE-specific Sentiment AnalysisNicole Novielli
What makes developers happy? What makes them upset? Is it possible to monitor the mood of a developer to determine when and where additional help is needed? How are emotions conveyed in developers’ communication channels and how they affect collaboration? Answering these questions involves being able to reliably implement sentiment analysis, which is the automatic processing of texts to map and capture the polarity of emotions and opinions. In this talk, I will provide an overview of recent research about sentiment analysis in software engineering (SE), address the open challenges, and provide empirically-based guidelines for safe (re)use of SE-specific tools in order to obtain meaningful results.
Keynote @SEmotion 2020: https://semotion.github.io/2020/keynote.html
English speaking proficiency assessment using speech and electroencephalograp...IJECEIAES
In this paper, the English speaking proficiency level of non-native English speakers was automatically estimated as high, medium, or low performance. For this purpose, the speech of 142 non-native English speakers was recorded and electroencephalography (EEG) signals of 58 of them were recorded while speaking in English. Two systems were proposed for estimating the English proficiency level of the speaker; one used 72 audio features, extracted from speech signals, and the other used 112 features extracted from EEG signals. Multi-class support vector machines (SVM) was used for training and testing both systems using a cross-validation strategy. The speech-based system outperformed the EEG system with 68% accuracy on 60 testing audio recordings, compared with 56% accuracy on 30 testing EEG recordings.
A short tutorial of the OCS freeware, which is used by psychologists to score creativity assessments.
We originally presented these slides in Thessaloniki in August of 2023.
Build an application upon Semantic Web models. Brief overview of Apache Jena and OWL-API.
Semantic Web course
e-Lite group (https://elite.polito.it)
Politecnico di Torino, 2017
More Related Content
Similar to Assessing Virtual Assistant Capabilities with Italian Dysarthric Speech
This an overview of ELSA's proprietary speech recognition technology. Find out how voice technology can help with language learning, and what differentiates ELSA's model from the others.
• COMMUNICATEBUSINESS VISION• WHAT TO EXPECT• .docxodiliagilby
• COMMUNICATE
BUSINESS VISION
• WHAT TO EXPECT
• MODIFY THE PLANS IT
CANNOT REALISTICALLY SUPPORT
• MUST BE INVOLVED
• STARTS WITH A STRATEGY
• DEVELOP MORE SPECIFIC
GOALS
• REQUIREMENTS MUST BE DETERMINED
FOR EACH GOAL
•
• HARDWARE
• SOFTWARE
• NETWORK
• DATA
• WHAT-WHO-WHERE
Component What Who Where
Hardware What hardware does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Software What software does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Network What networking does
the organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
Data What data does the
organization have?
Who manages it?
Who uses it?
Who owns it?
Where is it
located? Where is
it used?
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
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•
•
•
•
Access Tool Ubiquity Advantages Disadvantages
Physical locks Very high • Excellent if guarded • Locks can be picked
• Physical Access is often not needed
• Keys can be lost
Passwords Very high • User acceptance &
familiarity
• Ease of use
• Mature practices
• Poor by themselves
• Sometimes forgotten
• Sometimes stolen from users using
deception or key loggers
Biometrics Medium • Can be reliable
• Never forgotten
• Cannot be stolen
• Can be inexpensive
• False positives/negatives
• Some are expensive
• Some might change (e.g., voice)
• Lost limbs
• Loopholes (e.g., photo)
Access Tool Ubiquity Advantages Disadvantages
Challenge
questions
Medium (high
in banking)
• Not forgotten
• Multitude of questions
can be used
• Social networking might reveal some
answers
• Personal knowledge of an individual
might reveal the answers
• Spelling might not be consistent
Token Low • Stolen passkey is useless
quickly
• Requires carrying a device
Text message Medium • Stolen passkey is useless
• Mobile phone already
owned by users
• Useful as a secondary
mechanism too
• Requires mobile phone ownership by all
users
• Home phone option requires speech
synthesis
• Requires alternative access control if
mobile phone lost
Multi-factor
authentication
Medium • Stolen password is
useless
• Enhanced security
• Requires an additional technique if one of
the two fails
• Temptation for easy password
Tool Ubiquity Advantages Disadvantages
Antivirus/
antispyware
Very high • Blocks many known threats
• Blocks some “zero-day”
threats
• Slow down operating system
• “Zero day” threats can be
missed
Firewall High • Can prevent some targeted
traffic
• Can only filter known threats
• Can have well-known “holes”
System logs Very high • Can reveal ...
The effects of learner characteristics and beliefs on usage of ASR-CALL systemsBindi Clements
Computer Assisted Language Learning (CALL) has seen a rise in recent years of software applications that use Automatic Speech Recognition (ASR) to provide pronunciation feedback for language learners. ASR-CALL systems process large amounts of natural language data to provide immediate and individual feedback on the pronunciation accuracy of recorded learner utterances. In order for ASR-CALL systems to be implemented successfully and become effective tools for pronunciation training, understanding learner beliefs and perceptions about pronunciation and technology is key. While recent studies have investigated levels of learner satisfaction and engagement with ASR-CALL systems, little research has been done to date which investigates specific learner characteristics and beliefs which affect learner usage of ASR-CALL systems.
Wall Street English (WSE) currently has over 180,000 learners in 28 countries, and provides adult learners with a bespoke, blended-learning programme where students complete self-study interactive multimedia lessons before attending teacher-led classes. WSE have built activities within the multimedia self-study component of the course that allow students to record phrases and receive word-level ASR-driven feedback on pronunciation accuracy. For the current study, all students enrolled in selected WSE centres in China, Vietnam, Saudi Arabia and Italy had the opportunity over a four week period to complete these CALL-ASR activities. Students were able to retry each phrase a number of times in order to improve their pronunciation, received ASR-driven feedback on each retry, and were provided with a model audio with which to compare their own recorded attempts. The data presented in this study is drawn from three sources: an analysis of the anonymised study data from the 2,867 students from the countries mentioned above; survey data from 485 of these students; and individual qualitative interviews with 58 of these students.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An optimized approach to voice translation on mobile phoneseSAT Journals
Abstract Current voice translation tools and services use natural language understanding and natural language processing to convert words. However, these parsing methods concentrate more on capturing keywords and translating them, completely neglecting the considerable amount of processing time involved. In this paper, we are suggesting techniques that can optimize the processing time thereby increasing the throughput of voice translation services. Techniques like template matching, indexing frequently used words using probability search and session-based cache can considerably enhance processing times. More so, these factors become all the more important when we need to achieve real-time translation on mobile phones. Keywords:-Optimized voice translation, mobile client, speech recognition, language interpretation, template matching, probability search, session- based cache.
To Label or Not? Advances and Open Challenges in SE-specific Sentiment AnalysisNicole Novielli
What makes developers happy? What makes them upset? Is it possible to monitor the mood of a developer to determine when and where additional help is needed? How are emotions conveyed in developers’ communication channels and how they affect collaboration? Answering these questions involves being able to reliably implement sentiment analysis, which is the automatic processing of texts to map and capture the polarity of emotions and opinions. In this talk, I will provide an overview of recent research about sentiment analysis in software engineering (SE), address the open challenges, and provide empirically-based guidelines for safe (re)use of SE-specific tools in order to obtain meaningful results.
Keynote @SEmotion 2020: https://semotion.github.io/2020/keynote.html
English speaking proficiency assessment using speech and electroencephalograp...IJECEIAES
In this paper, the English speaking proficiency level of non-native English speakers was automatically estimated as high, medium, or low performance. For this purpose, the speech of 142 non-native English speakers was recorded and electroencephalography (EEG) signals of 58 of them were recorded while speaking in English. Two systems were proposed for estimating the English proficiency level of the speaker; one used 72 audio features, extracted from speech signals, and the other used 112 features extracted from EEG signals. Multi-class support vector machines (SVM) was used for training and testing both systems using a cross-validation strategy. The speech-based system outperformed the EEG system with 68% accuracy on 60 testing audio recordings, compared with 56% accuracy on 30 testing EEG recordings.
A short tutorial of the OCS freeware, which is used by psychologists to score creativity assessments.
We originally presented these slides in Thessaloniki in August of 2023.
Build an application upon Semantic Web models. Brief overview of Apache Jena and OWL-API.
Semantic Web course
e-Lite group (https://elite.polito.it)
Politecnico di Torino, 2017
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
PowerOnt: an ontology-based approach for power consumption estimation in Smar...Luigi De Russis
Presentation given at the 1st Cognitive Internet of Things Technologies (COIOTE 2014)
October 27, 2014, Rome, Italy
The paper is available on the PORTO open access repositor of Politecnico di Torino: http://porto.polito.it/2570936/
Short seminar about the Semantic Web for the "Artificial Intelligence" course at Politecnico di Torino (academic year 2012/2013)
An updated version is available at http://www.slideshare.net/luigidr/semantic-web-an-introduction
An overview on social network technologies: are they "typical" website? Or do they work in a different way? How many and what technologies do Facebook and Instagram use?
Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2013/2014).
A brief overview about writing clean code. Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2012/2013).
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
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Assessing Virtual Assistant Capabilities with Italian Dysarthric Speech
1. Fabio Ballati, Fulvio Corno, Luigi De Russis
Politecnico di Torino, Italy
Assessing Virtual Assistant
Capabilities with Italian
Dysarthric Speech
ASSETS 2018 - October 22-24, 2018 - Galway
2. 2
Usage of smartphone-based virtual assistants is growing,
worldwide
Such assistants generally have a positive impact on device
accessibility
People with speech impairments like dysarthria may be
unable to use those virtual assistants with proficiency
Background and Motivation
3. 3
We focused on ALS-inducted dysarthria and the Italian language
Propose a methodology for the collection of dysarthric speech
samples to evaluate smartphone-based virtual assistants
Investigate which assistant provides the most coherent answer
when the recognized speech is at least partially correct
Investigate whether and how people with moderate dysarthria could
be understood by three virtual assistants
• Siri, Google Assistant, Cortana
Goal
4. 4
We played the collected speech samples to
assess (i) the accuracy in transcription and (ii) the
coherence of the answers
ASSESSMENT
To collect dysarthric speech samples, we designed
a specific methodology and we recorded the 34
sentences from 8 people with ALS
DATA COLLECTION
Selection of 34 suitable sentences for virtual
assistants
SENTENCES SELECTION
Work Phases
5. 5
Sample sentences
(translated in English)
Do I need to take an umbrella, today?
How many proteins are in two eggs?
Add onion and tomatoes to my shopping
list
Who is the president of the Italian
republic?
Set the home temperature to 22 degrees.
Set an alarm at 8am.
…
• Goal: to have a set of sentences
to record, suitable for
smartphone-based virtual
assistants
• We extracted 34 sentences from
the recommended questions for
virtual assistants
• We, then, slightly modified them
to include all the phonemes of
the Italian language
Sentence Selection
SENTENCE SELECTION
6. 6
Goal: to have a dataset of dysarthric speech samples that may allow us
to assess the behavior of virtual assistants
Participants
• 8 native Italian speakers with ALS-induced dysarthria (4M, 4F), aged 64-
83
• Three types of dysarthria and within two speech intelligibility
categories
• Flaccid, Spastic, or Unilateral Upper Motor Neuron (Duffy classification)
• "Intelligible with repeating" and "Detectable speech disturbance" (ALS Functional
Rating Scale)
Data Collection
DATA COLLECTION
7. 7
• Simple process, to be easily reproduced
• The participant read each of the 34 sentences from an A4 sheet of
paper (one sheet per sentence), located in front of the reader, while we
recorded them
• The recordings were taken with a smartphone located at distance of 30-
40 centimeters from the participant
Procedure
DATA COLLECTION
8. 8
Goal: To investigate the accuracy in transcription and the coherence of the
answers of the virtual assistants
• The assessment took place in a quiet room of our university
• The recorded speech sample were played on a laptop connected to an
external high-quality speaker
• Each of the 272 sentences was played for Siri, Google Assistant, and
Cortana, separately, on three different smartphones
• iPhone 7 (iOS 11.2), Samsung A5 (Android 8.1), and Lumia 910 (Windows 10 Mobile)
• The results of the operation (recognized request and related response)
were noted down
Assessment
ASSESSMENT
9. 9
Qualitative QC
Classification of each provided
transcription in:
• Correct
• Same semantic meaning
• Incomplete
• Wrong
• Not recognized
Quantitative QC
Word Error Rate (WER)
WER = (S + I + D) / N,
where S = substitution, I = insertion, D =
deletion, and N = number of words in the
original sentence
Given by the similarity between the original sentence
and the provided transcription
Measures: Question Comprehension (QC)
ASSESSMENT
10. 10
• An indicator of the appropriateness of the assistants' responses
• Computed for sentences that were correct or with the same semantic
meaning, only
• Given as the number and percentage of times that a virtual assistant
provided a certain type of answer:
• Coherent answers, i.e., correct or logically consistent responses
• Incoherent answers, i.e., logically incoherent responses
• Default answers, i.e., responses that an assistant provides by default when it is
not able to fully understand or extract any context
Measures: Consistency in Answers
ASSESSMENT
11. 11
• WER was highly dependent upon the
participant
• The average WER for Google Assistant
was lower than Cortana
• Siri performed the worst
• Looking at the results of individual
participants, the same trend appeared
Results: Quantitative QC
ASSESSMENT
14. 14
We plan to publicly release the collected dataset
Google Assistant was the best in recognizing dysarthric speech
and in providing suitable answers
• Each virtual assistant behave differently
• The accuracy of transcription is strictly related to the speaker
• Some participants can use Google Assistant without any problems
• Siri performed the worst for the accuracy of the transcriptions but
provided a good number of suitable answers, when it properly
understood the request
Key Takeaways