Speech Processing Python Packages

silero-vad

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

torchscale

Foundation Architecture for (M)LLMs

indic-num2words

Python library for converting numbers to words for all Indian Languages.

spafe

:sound: spafe: Simplified Python Audio Features Extraction

pysptk

A python wrapper for Speech Signal Processing Toolkit (SPTK).

swift-f0

Fast and accurate fundamental frequency (F0) detector using convolutional neural networks

resemble-enhance

AI powered speech denoising and enhancement

voicefixer

General Speech Restoration

audioinfo

A small tool to calculate the distribution of audio durations in a directory

nnmnkwii

Library to build speech synthesis systems designed for easy and fast prototyping.

silero-vad-lite

Lightweight wrapper for Silero VAD using internal ONNX Runtime and with no python package dependencies

diarize

Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.

vak

A neural network framework for researchers studying acoustic communication

bournemouth-forced-aligner

Extract phoneme-level timestamps from speeh audio.

deepaudio-x

A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.

everyvoice

The EveryVoice TTS Toolkit - Text To Speech for your language

signal-transformation

Widely used signal transformation using TensorFlow API.

myspokenlanguagedetection

Spoken language identification with CNN and RNN - Improved Version: accuracy up

polyglotdb

No description available

scoreq

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

lfeats

A unified interface to extract hidden representations from various speech foundation models

simpleder

A lightweight library to compute Diarization Error Rate (DER).

vistec-ser

Speech Emotion Recognition models and training using PyTorch