The Network, Das Model, Computational neuroscience, Transformer, Connectionism, Encoder

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On Oct 24, 2020
@kastnerkyle shared
RT @ethanachi: Non-autoregressive models speed up seq2seq by >10x but fall short, esp. in speech. Iterative *realignment* improves @GoogleAI’s Imputer on LibriSpeech by ~20% rel at <1/4th the cost! Align-Refine: https://t.co/FKyY240Sd6 (arXiv soon) w/ @JulianSlzr, K. Kirchhoff (1/4) https://t.co/FkonrDEQ4M
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Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment Ethan A. Chi Stanford University∗ [email protected] Julian Salazar Amazon AWS AI [email protected] Katrin Kirchhoff Amazon AWS AI [email protected] Abstract Non-autoregressive models greatly improve ...

nlp.stanford.edu
On Oct 24, 2020
@kastnerkyle shared
RT @ethanachi: Non-autoregressive models speed up seq2seq by >10x but fall short, esp. in speech. Iterative *realignment* improves @GoogleAI’s Imputer on LibriSpeech by ~20% rel at <1/4th the cost! Align-Refine: https://t.co/FKyY240Sd6 (arXiv soon) w/ @JulianSlzr, K. Kirchhoff (1/4) https://t.co/FkonrDEQ4M
Open

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Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment Ethan A. Chi Stanford University∗ [email protected] Julian Salazar Amazon AWS AI [email protected] ...

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This paper provides intensive comparisons of its performance with that of RNN for speech applications; automatic speech recognition (ASR), speech translation (ST), and text-to- speech ...

Generate Natural Sounding Speech from Text in Real-Time

Generate Natural Sounding Speech from Text in Real-Time

This blog, intended for developers with professional level understanding of Deep Learning, will help you produce a production ready AI text-to-speech model. Converting text into high ...

An EM Approach to Non-autoregressive Conditional Sequence Generation

An EM Approach to Non-autoregressive Conditional Sequence Generation

The training of both AutoRegressive (AR) and Non- AutoRegressive (NAR) sequence generation models is per- formed via likelihood maximization over parallel data An EM Approach to ...

The Challenges of using Transformers in ASR

The Challenges of using Transformers in ASR

Since mid 2018 and throughout 2019, one of the most important directions of research in speech recognition has been the use of self-attention networks and transformers, as evident from the ...

Critique of Honda Prize for Dr. Hinton

Critique of Honda Prize for Dr. Hinton

A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, D. ...