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prmlt

Pattern Recognition and Machine Learning Toolbox

product-quantization

product quantization experiments

prometheus-spark

Learn or die.

pse

Code for embedding pairs of sequences in a fixed-dimensional space

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pychain

PyTorch implementation of LF-MMI for End-to-end ASR

pychain_example

pydub

Manipulate audio with a simple and easy high level interface

pyemd

Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

pyfasst

Python implementation of the Flexible Audio Source Separation Toolbox (FASST)

pykaldi

A Python wrapper for Kaldi

pyspeechrev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

python_kaldi_features

python codes to extract MFCC and FBANK speech features for Kaldi

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-softdtw

An implementation of SoftDTW for PyTorch.

pytorch-wavenet

An implementation of WaveNet with fast generation

qbtapit

Query by Tapping Client + Server

qfp

Quad-based audio fingerprinting and recognition in Python

qmf

A fast and scalable C++ library for implicit-feedback matrix factorization models

qppwg

Quasi-Periodic Parallel WaveGAN Pytorch implementation

quaternion-convolutional-neural-networks-for-end-to-end-automatic-speech-recognition

This is the ready-to-use code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all the Keras classes to run a Quaternion Convolutional NN.

quaternion-recurrent-neural-networks

This is the ready-to-use code for the paper 'Quaternion Recurrent Neural Networks'.

querybysinginghumming

State-of-the-art system for query-by-singing-humming in C++.

rapidasr

A Cross platform implementation of Wenet ASR inference. It's based on ONNXRuntime and Wenet. We provide a set of easier APIs to call wenet models.

rave

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

rave-audition

VST/AU Plugin for Auditioning RAVE Models in Real-time

resampy

Efficient sample rate conversion in python

resnest

ResNeSt: Split-Attention Networks

rhythmicanalysis

rhythmvae_m4l

Max for Live(M4L) Rhythm generator using Variational Autoencoder(VAE)