Reverse Dependencies of python_speech_features

The following projects have a declared dependency on python_speech_features:

• aaa-features — Python code to calculate signal features. This code was extracted from https://github.com/malfante/AAA
• asrt — A Deep-Learning-Based Auto Speech Recognition Toolkit
• audio-classification-features — Complete Package for Audio Classification
• automatic-speech-recognition — Distill the Automatic Speech Recognition (TensorFlow)
• describealign — Combines videos with matching audio files (e.g. audio descriptions)
• easybird — A python toolkit for Bird Activity Detection (BAD)
• femtoflow — Femtosense Model Optimization Toolkit
• fmot — Femtosense Model Optimization Toolkit
• kur — Descriptive deep learning
• magnifier — 精度検証やパラメータチューニングで使用する関数群のライブラリ
• malaya-speech — Speech-Toolkit for bahasa Malaysia, powered by Tensorflow and PyTorch.
• ml-dataset — datasets for easy machine learning use
• MMSA-FET — A Tool for extracting multimodal features from videos.
• mocap-sync — no summary
• neurst — Neural Speech Translation Toolkit
• persephone — A tool for developing automatic phoneme transcription models
• pyAudioKits — Powerful Python audio workflow support based on librosa and other libraries
• pydiar — A simple to use library for speaker diarization
• pysoundtool — A research-based framework for exploring sound as well as machine learning in the context of sound.
• PyTimbre — Python conversion of Timbre Toolbox
• sltk — Spoken Language Toolkit
• soundpy — A research-based framework for exploring sound as well as machine learning in the context of sound.
• speaker-verification-toolkit — A package designed to compose speaker verification systems
• timit-utils — A convenience python wrapper for the TIMIT database.