CMU’s ASR2K Pipeline Recognizes Speech in 1909 Languages Without Audio | Synced
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 200...
Source: Synced | AI Technology & Industry Review
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.