speech-analysis

Praat: Doing Phonetics By Computer

A high-quality speech analysis, manipulation and synthesis system

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

General Speech Restoration

feature extraction from speech signals

My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

General Speech Restoration

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

A vocoder framework which had been widely used in research community since 1999.

Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).

Trained models for automatic speech recognition (ASR). A library to quickly build applications that require speech to text conversion.

MagPhase Vocoder: Speech analysis/synthesis system for TTS and related applications.

Script to calculate SNR and SDR using python

Pitch detection and pitch tracking, voicing unvoicing detection (VAD)，基音检测

Localized Narratives

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

MATLAB real-time/interactive speech tools. This series is obsolete. SP3ARK is the up-to-date series (will be).

SpeCT - Speech Corpus Toolkit for Praat. Documentation: https://lennes.github.io/spect/

Toolkit to asses speech impairments in patients with neurological disorders