Name: #006 - Deaf Person Calling - Benjamin Etienne, Rogervoice - CLIP 1 by Voice Tech Podcast
Duration: 5 s

Eric Bolo is the CTO of Batvoice Technologies, a speech analytics startup based in Paris, France. Eric talks about building a custom speech-to-text system for their flagship product, Call Watch.

He introduces us to speech analytics and audio-mining, and describes some typical applications. We go into detail about speech-to-text (STT) technologies, and discuss the pros and cons of using cloud STT services such as Google speech versus building a custom STT system yourself.

Eric tells us about the latest open source tools and frameworks for building STT systems, and how to get that precious voice data to train our models. We learn how to build and annotate a custom voice dataset ourselves, and hear his advice on starting a voice first company.

This is a great first episode to kick off the series! Eric is super smart, with excellent technical skills and a real passion for voice technology. We already know each other quite well, so I couldn't think of anyone I'd rather have as my first guest on the show. I know you're gonna enjoy hearing what he had to say!

#001 - Speech to Text - Eric Bolo, Batvoice - CLIP 1

#001 - Speech to Text - Eric Bolo, Batvoice - CLIP 2

Benjamin Etienne is a data scientist at Rogervoice, a mobile app that allows deaf and hard-of-hearing people to use the telephone. Ben shares his inspirational story about how he taught himself data science and machine learning in the evenings, so he could work in a more technical role. He tells us why he's not keen on Kaggle competitions, and why getting a job in data science is the best way to master it.

Ben introduces us to the challenges faced by the deaf and hard-of-hearing community, and how they can overcome them with the help of voice technology. We cover how Rogervoice works from both functional and technical standpoints, and discuss the pros and cons of using a commercial cloud-based speech API versus developing a custom in-house speech-to-text system. Ben reveals his reasoning behind his choice of machine learning models, and describes the advantages of using connectionist temporal classification (CTC).

We then discuss the state of data science today, the limitations of current models and data preprocessing techniques, and how an understanding of the underlying psychology and neurology of users can help us design more effective voice technologies.

Links from this episode:
All episodes and show notes at: https://voicetechpodcast.com 
CTC intro: https://distill.pub/2017/ctc/ 
CTC article on Medium: https://gab41.lab41.org/speech-recognition-you-down-with-ctc-8d3b558943f0 
CTC dissertation by A.Graves: https://www.cs.toronto.edu/~graves/phd.pdf 
Memory networks - one-shot-learning: https://arxiv.org/abs/1605.06065 
Neural Turing Machines: https://arxiv.org/abs/1410.5401 
"An Amplitude Modulation Model for Speech Perception" https://pdfs.semanticscholar.org/28e6/80db1df1f7506d8625012b5f11806c723ea6.pdf 
"Brain-inspired speech segmentation": https://www.nature.com/articles/srep37647.pdf 
Baidu Deepspeech: http://research.baidu.com/
Mozilla Common Voice Project: https://voice.mozilla.org/en 
TEDlium English speech recognition training corpus from TED talks: http://www.openslr.org/7/ 
Voxforge GPL Transcribed Speech corpus: http://www.voxforge.org/ 
Librispeech ASR corpus: http://www.openslr.org/12/
Andrew ING Machine Learning MOOC: https://www.coursera.org/learn/machine-learning
Geoffrey Hinton MOOC: https://www.coursera.org/learn/neural-networks 
Facebook Pytorch: https://pytorch.org/
Google Tensorflow: https://www.tensorflow.org/

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#006 - Deaf Person Calling - Benjamin Etienne, Rogervoice - CLIP 1

Host of the Voice Tech Podcast. Interviews with voice technology professionals, boosting your knowledge and technical skills. Voice interfaces, voice assistants, data science, machine learning and much more. Subscribe now!

technology, tech, voice, speech, assistant, bot, chatbot, alexa, machine learning, artificial intelligence, data science, AI

#006 - Deaf Person Calling - Benjamin Etienne, Rogervoice - CLIP 1

Voice Tech Podcast

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