This document summarizes an innovative new technology called VocaliD that is creating custom synthetic voices for people with speech impairments. It describes how VocaliD's founder, Dr. Rupal Patel, was inspired to start the project after observing how unnatural it was for a child and adult to share the same voice in their communication devices. VocaliD records donor voices to create a "voice bank" of speech samples, then uses an algorithm to combine a speech-impaired person's vocal patterns with a donor's voice to generate a unique synthetic voice for that individual. The first recipients of personalized VocaliD voices, including a young girl named Maeve, will receive their new voices in December
Entra y Aprende Fácil Qué es el Cáncer, como se produce y desarrolla, los tipos que hay, los tratamientos y todo sobre el cáncer. Células cancerígenas ¿Qué son? ¿Cómo se forman?.
Developing a New Speech Perception in Noise Training for Autism.pdfBarbara Fernandes
Developing a New Speech Perception in Noise Training for Autism.
When one both hears and sees a speaker’s utterance, speech perception is more accurate (Sumby and Pollack, 1954; Ross et al., 2007a; Stevenson and James, 2009; Ross et al., 2011; Stevenson et al., 2014e; Altieri et al., 2015; Stevenson et al., 2015) and less effortful (Fraser et al., 2010) than when only auditory information is available.
Typical developing children are able to use visual information to enhance perception
ASD kids (even when looking at the face) are not able to use visual information to enhance speech perception
Learn more or connect with Barbara Fernandes at https://barbarafernandes.com
Neither Her Nor Hal: Considering Access and Representation in the Next Genera...Emily Saltz
Presentation for Processing Community Day Workshop in Los Angeles 2019 for the Accessibility, Disability, and Care track
Note: presentation included audio not included here.
Entra y Aprende Fácil Qué es el Cáncer, como se produce y desarrolla, los tipos que hay, los tratamientos y todo sobre el cáncer. Células cancerígenas ¿Qué son? ¿Cómo se forman?.
Developing a New Speech Perception in Noise Training for Autism.pdfBarbara Fernandes
Developing a New Speech Perception in Noise Training for Autism.
When one both hears and sees a speaker’s utterance, speech perception is more accurate (Sumby and Pollack, 1954; Ross et al., 2007a; Stevenson and James, 2009; Ross et al., 2011; Stevenson et al., 2014e; Altieri et al., 2015; Stevenson et al., 2015) and less effortful (Fraser et al., 2010) than when only auditory information is available.
Typical developing children are able to use visual information to enhance perception
ASD kids (even when looking at the face) are not able to use visual information to enhance speech perception
Learn more or connect with Barbara Fernandes at https://barbarafernandes.com
Neither Her Nor Hal: Considering Access and Representation in the Next Genera...Emily Saltz
Presentation for Processing Community Day Workshop in Los Angeles 2019 for the Accessibility, Disability, and Care track
Note: presentation included audio not included here.
The Cocktail Party Effect. An inclusive vision of conversational interactions.Isabella Loddo
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A Phonetic Forensic Analysis of Imran Khan’s Speeches.pdfFaiz Ullah
The objective of this research was to analyze the speeches made by Al Tools and Imran Khan. Praat played a crucial
role in conducting this analysis. Nowadays, there are numerous fake videos and audios associated with specific
individuals. For instance, speeches made by Al Tools, such as Imran Khan's speech after being imprisoned, were
released.
Speech and Language Disorders Essay
Why I Became a Speech Pathologist Essay
Speech On Self Evaluation
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My Self-Evaluation Of Speech
Speech : The Power Of Speech
Examples Of Opening Speech
Informative Speech Essay examples
Sample Persuasive Speech
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Speech for Head Boy
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Example Of Persuasive Speech Essay
Speech Reflection Essay
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Essay on Speech Pathology
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
The Cocktail Party Effect. An inclusive vision of conversational interactions.Isabella Loddo
Keynote speech held by Isabella Loddo and Dario Martini at the EAD12 | Design for Next International Conference - track Design for Next Technology, 14th April 2017, Facoltà di Architettura "Valle Giulia", Università di Roma La Sapienza.
A Phonetic Forensic Analysis of Imran Khan’s Speeches.pdfFaiz Ullah
The objective of this research was to analyze the speeches made by Al Tools and Imran Khan. Praat played a crucial
role in conducting this analysis. Nowadays, there are numerous fake videos and audios associated with specific
individuals. For instance, speeches made by Al Tools, such as Imran Khan's speech after being imprisoned, were
released.
Speech and Language Disorders Essay
Why I Became a Speech Pathologist Essay
Speech On Self Evaluation
Example Of A Speech Critique
My Self-Evaluation Of Speech
Speech : The Power Of Speech
Examples Of Opening Speech
Informative Speech Essay examples
Sample Persuasive Speech
Graduation Speech Essay example
Speech for Head Boy
Persuasive Speech On Cancer
Example Of Persuasive Speech Essay
Speech Reflection Essay
Persuasive Speech On Voting
Critique of a Public Speech Essay
Reflection Speech
Essay on Speech Pathology
9/11 Informative Speech Essay
Speech : A Reflection Of An Informative Speech
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
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Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
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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.
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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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Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Dr. Sean Tan, Head of Data Science, Changi Airport Group
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Four seasons magazine
1. 110
FOUR SEASONS MAGAZINE / ISSUE 4 / 2015
Thrive
FINDING A VOICE
“my name is Erin Flack, I am 9 years old, and I live in
Needham, Massachusetts. My little sister Maeve has
cerebral palsy and uses an ECO speaking device we call her
talker.” This was the email that landed in Dr Rupal Patel’s
inbox in March 2014, shortly after the broadcast of her
TED Talk about VocaliD, a new project to create custom
voices for speech-impaired people. Attached to the mes-
sage was a photograph of three young girls, each blonde
and smiling. “Me, my mom and my other sister, Meghan,
realised that Maeve’s voice she has programmed in her
talker sounds nothing like the voice of an 8-year-old and
we probably should get a new voice. . . . I saw your video
and I thought I would love to give my voice to someone
who can’t talk, just like Maeve,” Erin wrote.
In her TED Talk, Rupal Patel, PhD, CEO and founder of
VocaliD, described how at a 2002 conference she’d watched
a little girl and an adult man have a conversation—with
the same voice. It looked and sounded all wrong. Since the
first synthetic voice device prototypes were developed in
the mid-1970s—think the Equalizer software adopted by
Stephen Hawking in the ’80s—technology has advanced
by leaps and bounds. But the range of voices available to
users has not. In the U.S. alone, 2.5 million people use
speech generating devices (SGDs), and they still have only
a handful of voices to choose from.
As a speech scientist, Patel understands that no mat-
ter how little of their speaking ability remains, each
individual retains a unique vocal identity: They can still
modulate their “source” (the pitch, tempo and loudness of
the vibrations they generate using their voice box), even
if they can’t properly control their “filter” (their tongue,
lips and mouth) to produce consonants and vowels. Hence,
she thought of combining a source sample from a speech-
impaired individual with a filter sample from a matching
This season, the first recipients of an innovative new technology for the
speech-impaired will begin to talk in tones all their own.
By Gemma Z. Price Illustration by Shout
At a conference,
Dr Rupal Patel
had watched a
little girl and an
adult man have
a conversation—
with the same
voice. It looked
and sounded
all wrong.
“
”
2. FOUR SEASONS MAGAZINE / ISSUE 4 / 2015
112Thrive
healthy talker—a donor of sim-
ilar age, background, size and
so on—to create a new synthetic
voice as unique as a fingerprint.
Unlike such procedures as
donating a kidney, donating your
voice is painless: You simply
have to record a few hours of
speech. When VocaliD was still
a research project, all donors
had to visit Patel’s Boston-based
recording studio. As the project
and donor numbers grew, this
became unfeasible. Patel then
founded VocaliD and launched
its first product, The Human
Voicebank, a crowdsourced effort
to collect the voices of people
of all ages, ethnicities and cultural/linguistic
backgrounds from all over the world. (Currently
the programme is only in English, but other
languages are also in the works, starting with
research into speech synthesis in Korean and
Japanese.) The launch of The Human Voicebank
web portal in December 2014 leveraged the
increasing quality of microphones on laptops,
tablets and smartphones so that donors could
record their voice anywhere, on their own time.
Completing a recording means reading
3,500 sentences aloud. These aren’t designed
to cover every phrase that the recipient will
say, but to cover all the combinations of vowels
and consonants in a language. Once a record-
ing is made, the VocaliD software can parse the
utterances into different sound combinations
and populate a data set, called a voice bank.
The VocaliD algorithm can draw from the voice
bank to synthesise a natural-sounding voice,
infused with the recipient’s “vocal DNA.” While
the donor must record a fairly large data sample,
the recipient only has to extend or repeat a
vowel sound, meaning that anyone who uses a
speech generating device can now have a voice
of their own.
When Patel invited her TED Talk audience to
visit the website to learn more, several thousand
people from all walks of life, from children to
professional voice talents, came forward in the
first couple of months; today more than 14,000
people are active on The Human Voicebank
platform. The team hopes to bank 10,000 voices
by the end of 2016. Once a voice is banked
successfully, it can be matched with multiple
recipients, and the VocaliD team gets to work.
“It takes us around 20 to 30 hours per person to
create a voice,” Patel says. “These are the human
hours needed after an algorithm has mixed
donor speech with recipient speech.”
The first seven recipients receive their voices
in December 2015. Maeve Flack is among them,
with her sister Erin as her donor. The next 50
recipients will receive their voices in December
2016, thanks to VocaliD’s “In Demand” cam-
paign on crowdsourcing site Indiegogo. And
another 50 personalised voices are now avail-
able on the site for $1,249 each—significantly
less than the cost of production, which is about
$7,000 to $10,000 per voice.
VocaliD’s future goals include extending the
software compatibility from Android to iOS and
Windows (the platform on which most speech
devices are built), adding a range of accents,
and automating the tweaking process so that
anyone—not just speech scientists—can finesse
a new voice, enabling VocaliD to deliver faster.
The team is also working on offering a personal
connection between donors and recipients,
while being respectful of both parties’ wishes
regarding use of their personal information.
Hearing Maeve’s words in a VocaliD video
makes it clear what motivates Patel and her
team. “My voice isn’t me; it sounds like a robot,”
Maeve says of her current voice. “I want it to be
me.” The first thing Maeve plans to say with her
new voice? “I feel happy.”
Gemma Z. Price, based in Saigon and San Francisco, writes
for Condé Nast Traveller, Departures and Robb Report.
above: Dr Rupal
Patel shares
her work in a
December 2013
TED Talk.
“Since the first synthetic voice device
prototypes were developed, technology has
advanced by leaps and bounds. But the range
of voices available to users has not.
”
SPEAK UP
To donate your voice
to The Human
Voicebank, log on to
vocalid.co/voicebank
and begin recording.
All you need is a
computer with
Google Chrome,
internet connectivity,
a microphone and
a quiet room.