Edit model card

Wav2vec2-CTC-based French Phonemizer

Usage

Infer audio

import soundfile as sf
import torch
from transformers import AutoModelForCTC, AutoProcessor, pipeline

device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32

# Load model
model_name_or_path = "bofenghuang/phonemizer-wav2vec2-ctc-french"
processor = AutoProcessor.from_pretrained(model_name_or_path)
model_sample_rate = processor.feature_extractor.sampling_rate
model = AutoModelForCTC.from_pretrained(model_name_or_path, torch_dtype=torch_dtype)
model.to(device)

# Init pipeline
pipe = pipeline(
    "automatic-speech-recognition",
    model=model,
    feature_extractor=processor.feature_extractor,
    tokenizer=processor.tokenizer,
    torch_dtype=torch_dtype,
    device=device,
)

# Example audio
audio_file_path = "/path/to/example/wav/file"

# Infer with pipeline
result = pipe(audio_file_path)
print(result["text"])

# Infer w/ lower-level api
waveform, sample_rate = sf.read(audio_file_path, start=0, frames=-1, dtype="float32", always_2d=False)

input_dict = processor(waveform, sampling_rate=model_sample_rate, return_tensors="pt")

with torch.inference_mode():
    input_values = input_dict.input_values.to(device, dtype=torch_dtype)
    logits = model(input_values).logits

predicted_ids = torch.argmax(logits, dim=-1)
predicted_text = processor.batch_decode(predicted_ids)[0]
print(predicted_text)

Phonemes were generated using the following code snippet:

# !pip install phonemizer
from phonemizer.backend import EspeakBackend
from phonemizer.separator import Separator

# initialize the espeak backend for French
backend = EspeakBackend("fr-fr", language_switch="remove-flags")

# separate phones by a space and ignoring words boundaries
separator = Separator(phone=None, word=" ", syllable="")

def phonemize_text_phonemizer(s):
    return backend.phonemize([s], separator=separator, strip=True, njobs=1)[0]

input_str = "ce modèle est utilisé pour identifier les phonèmes dans l'audio entrant"
print(phonemize_text_phonemizer(input_str))
# 'sə modɛl ɛt ytilize puʁ idɑ̃tifje le fonɛm dɑ̃ lodjo ɑ̃tʁɑ̃'

Acknowledgement

Inspired by Cnam-LMSSC/wav2vec2-french-phonemizer

Downloads last month
7
Safetensors
Model size
315M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train bofenghuang/phonemizer-wav2vec2-ctc-french