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yoruba_ASR
AstralZander/yoruba_ASR
yoruba_ASR is a automatic speech recognition model from AstralZander. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
facebook/wav2vec2-xls-r-300m fine-tuned on openslr (SLR86) and mozilla-foundation/commonvoice120 for Yoruba language.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 15, 2023
- Updated
- May 2, 2023
- SHA
- 8d0d26ad
Spaces
Model card
From the Hugging Face model README
facebook/wav2vec2-xls-r-300m fine-tuned on openslr (SLR86) and mozilla-foundation/common_voice_12_0 for Yoruba language.
WER: 0.51
from huggingsound import SpeechRecognitionModel
model = SpeechRecognitionModel("AstralZander/yoruba_ASR")
audio_paths = [audio_path] # List with paths to audio
transcriptions = model.transcribe(audio_paths)
transcriptions # List of transcriptions, timestamps and probabilities
transcriptions[ind_audio]['transcription'] # Transcription of audio with the ind_audio index from the audio_paths list
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- yo
- Created
- Apr 15, 2023
- Updated
- May 2, 2023