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CMU’s ASR2K Pipeline Recognizes Speech in 1909 Languages Without Audio
Sept. 13, 2022, 2:14 p.m. | Synced
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In the new paper ASR2K: Speech Recognition for Around 2000 Languages Without Audio, a Carnegie Mellon University research team introduces a speech recognition pipeline that can recognize almost 2000 languages without audio requirements.
The post CMU’s ASR2K Pipeline Recognizes Speech in 1909 Languages Without Audio first appeared on Synced.
ai artificial intelligence audio deep-neural-networks machine learning machine learning & data science ml pipeline research speech speech recognition technology
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