metadata
license: apache-2.0
datasets:
- openslr
- mozilla-foundation/common_voice_12_0
language:
- yo
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