Facebook AI software does speech recognition without any transcribed data

Facebook AI software does speech recognition without any transcribed data

High-performance speech recognition with no supervision at all

Facebook AI post https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision

Demo in Twitter video https://twitter.com/schrep/status/1395766932104572928

Unsupervised Speech Recognition

Facebook Paper abstract https://ai.facebook.com/research/publications/unsupervised-speech-recognition

Facebook PDF paper https://scontent.ftpa1-2.fna.fbcdn.net/v/t39.8562-6/187874612_311717527241594_5668815448923437055_n.pdf?_nc_cat=102&ccb=1-3&_nc_sid=ae5e01&_nc_ohc=qXOFpESwsyUAX_klfAQ&_nc_ht=scontent.ftpa1-2.fna&oh=b5e204449e96aed9ad804fde85d3ad72&oe=60D1D515

GitHub https://github.com/pytorch/fairseq/tree/master/examples/wav2vec/unsupervised

... current speech recognition technology still requires labeled training data. This limits this technology to a small fraction of the languages spoken around the globe.

This paper describes ... method to train speech recognition models without any labeled data.

... wav2vec-U reduces the phoneme error rate on the TIMIT benchmark from 26.1 to 11.3.

... wav2vec-U ... rivaling some of the best published systems trained on 960 hours of labeled data from only two years ago.

We also experiment on nine other languages, including low-resource languages such as Kyrgyz, Swahili and Tatar.

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