Intended Use Cases
automatic-speech-recognition
Open — attribution required; commercial use allowed.
Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.
This is the same multilingual corpus, sliced for other languages the platform indexes it under.
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
Malagasy (mlg) included in Simba-M multilingual African ASR model from UBC-NLP. Part of Simba family (Simba-S, Simba-W, Simba-X, Simba-H, Simba-M).
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
automatic-speech-recognition model · Wav2Vec2ForCTC · UBC-NLP
Shona (sna) TTS from Meta MMS. ~15M speakers, official language of Zimbabwe.
Shona (sna) ASR covered in Meta MMS 1B model.
Shona (sna) achieves F1=96.5 on MasakhaNER 2.0 — highest in the benchmark. Multilingual NER model covering 21 African languages.