An alignment decoder for .

Forced alignment operates by analyzing the given audio file alongside a provided text string. Through this process, the model evaluates the likelihood of the speech within the audio accurately representing the specified text.

Python and Pytorch requirements are the same as Whisper. The setup and download can be done as:

pip install git+https://github.com/Warpawn/Whisper-Forced-Alignment

To perform forced alignment, utilize the decode function within the provided framework. Ensure that $MODEL_TYPE_WHISP is specified correctly, such as selecting one of the Whisper models, for example, large. The $audio_file variable should contain the file path pointing to the audio resource. To activate the forced alignment functionality, set the alignment_text parameter accordingly.

import whisper

model = whisper.load_model($MODEL_TYPE_WHISP)

audio = whisper.load_audio($audio_file)
audio = whisper.pad_or_trim(audio)
mel = whisper.log_mel_spectrogram(audio).to(model.device)
options = whisper.DecodingOptions(language="en",alignment_text=$current_line)
result = whisper.decode(model, mel, options)

print(result.avg_logprob)