The Unreasonable Effectiveness of Speech Data episode artwork

EPISODE · Oct 6, 2022 · 35 MIN

The Unreasonable Effectiveness of Speech Data

from The Data Exchange with Ben Lorica · host Ben Lorica

Piotr Żelasko is Head of Research at Meaning, a startup building an AI platform using speech technologies. He has years of experience in speech technologies, both as a researcher and as a software engineer.  We recorded this episode on the week of the release of Whisper,  deep learning model (from OpenAI) that approaches human level robustness and accuracy on English speech recognition.  Our conversation centered on Whisper and speech recognition, but also touched on the new speech data processing tools (Lhotse, k2, Icefall) that we described in our recent post.Download a FREE copy of our recent 2022 Trends Report (Data, Machine Learning, AI):  https://gradientflow.com/2022trendsreport/Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.

Episode metadata supplied by the publisher feed · Published Oct 6, 2022

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Piotr Żelasko is Head of Research at Meaning, a startup building an AI platform using speech technologies. He has years of experience in speech technologies, both as a researcher and as a software engineer. We recorded this episode on the week of the release of Whisper, deep learning model (from OpenAI) that approaches human level robustness and accuracy on English speech recognition. Our conversation centered on Whisper and speech recognition, but also touched on the new sp...

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The Unreasonable Effectiveness of Speech Data

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