Disclosure certainty 4/5 debate potential 1/5

Baidu trains English speech AI on 10,000 to 20,000 audio hours

Adam Coates · Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator · Aug 11, 2017 · at 5:48

Adam Coates, Director of Baidu's Silicon Valley AI Lab, details the training data volumes required for Baidu's speech recognition models.

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“Our English system uses like 10 to 20,000 hours of audio. The Mandarin systems are using even more for top end products.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Adam Coates

Assertion Supported
Baidu's Deep Speech engine achieves superhuman accuracy on short queries
“The speech engine that we've built at Baidu called Deep Speech it's actually superhuman for these short queries.”
Adam Coates Aug 11, 2017 ▶ 3:49 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
Insight
Deep learning and massive data eliminate hand-engineered speech recognition pipelines
“And in the past, it always looked like there was some fundamental problem that maybe we could never escape this need for these hand engineered representations. But it turns out that once you have enough data, all of those things go away.”
Adam Coates Aug 11, 2017 ▶ 10:23 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
Prediction Not checkable as stated
Speech recognition could be a solved problem within a few years
“I sincerely think there's a chance that over the next few years we're going to regard speech recognition as a solved problem.”
Adam Coates Aug 11, 2017 ▶ 21:05 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
Opinion
Workers are not currently at risk of AI taking their jobs
“I don't think we're at risk of robots taking our jobs right now.”
Adam Coates Aug 11, 2017 ▶ 25:51 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
Insight
Rapid AI progress demands flexible full-stack machine learning engineers
“Because the field's moving so quickly we also need a different kind of person now. We also need people who are sort of chameleons, who are these highly flexible types that can understand and even contribute to a research project but can also simultaneously Shi…”
Adam Coates Aug 11, 2017 ▶ 26:21 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
Insight
Neural networks learn English spelling and exceptions purely from data
“But now it's all data-driven, so if I hear enough of these unusual words, You see these neural networks actually learn to spell on their own, even considering all the weird exceptions of English.”
Adam Coates Aug 11, 2017 ▶ 11:29 Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
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