wav2vec2-french-phonemizer-v2

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1
license:mit
by
Cnam-LMSSC
Audio Model
OTHER
New
2K downloads
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usage (with HuggingSound library)python
import pandas as pd
from huggingsound import SpeechRecognitionModel

model = SpeechRecognitionModel("Cnam-LMSSC/wav2vec2-french-phonemizer-v2")
audio_paths = ["./test_relecture_texte.wav", "./10179_11051_000021.flac"]

# No need for the Audio files to be sampled at 16 kHz here,
# they are automatically resampled by Huggingsound

transcriptions = model.transcribe(audio_paths)

# (Optionnal) Display results in a table :
## transcriptions is list of dicts also containing timestamps and probabilities !

df = pd.DataFrame(transcriptions)
df['Audio file'] = pd.DataFrame(audio_paths)
df.set_index('Audio file', inplace=True)
df[['transcription']]

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