tmh 0.0.30

TMH Speech package

TMH Speech

TMH Speech is a library that gives access to open source models for transcription.

Getting started

To start the project you first need to install tmh and pyannote, since we are using newer packages.

pip install tmh
pip install https://github.com/pyannote/pyannote-audio/archive/develop.zip

Example usage

Transcription

from tmh.transcribe import transcribe_from_audio_path
file_path = "./sv.wav"
transcription = "Nu prövar vi att spela in ljud på svenska sex laxar i en laxask de finns en stor banan"
print("creating transcription")
asr_transcription = transcribe_from_audio_path(file_path)
print("output")
print(asr_transcription)
print("the transcription is", transcription)

Transcribe with VAD

from tmh.transcribe_with_vad import transcribe_from_audio_path_split_on_speech
file_path = "./sv.wav"
print("creating transcription")
asr_transcription_with_vad = transcribe_from_audio_path_split_on_speech(file_path)
print("transcription")
print(asr_transcription_with_vad)

Language classification

from tmh.transcribe import classify_language
file_path = "./sv.wav"
transcription = "Nu prövar vi att spela in ljud på svenska sex laxar i en laxask de finns en stor banan"
print("classifying language")
language = classify_language(file_path)
print("the language is", language)

Classify emotion

from tmh.transcribe import classify_emotion
file_path = "./sv.wav"
print("classifying emotion")
language = classify_emotion(file_path)
print("the emotion is", language)

Speaker embeddings

https://huggingface.co/speechbrain/spkrec-xvect-voxceleb

Extract speaker embedding

from tmh.transcribe import extract_speaker_embedding
file_path = "./sv.wav"
print("extracting speaker embedding")
embeddings = extract_speaker_embedding(file_path)
print("the speaker embedding is", embeddings)

Voice activity detection

from tmh.vad import extract_silences
file_path = "./sv.wav"
print("extracting silences")
embeddings = extract_silences(file_path)
print("the silences are", embeddings)

Build instructions

Change the version number

python3 -m build 
twine upload --skip-existing dist/*

Github

https://gits-15.sys.kth.se/bmoell/tmh