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angel

A Flexible and Powerful Parameter Server for large-scale machine learning

audio

simple audio I/O for pytorch

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

buildkernelandmodules

Build the Linux Kernel and Modules on board the NVIDIA Jetson Nano Developer Kit

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

espnet

End-to-End Speech Processing Toolkit

fastmp

We'll see what this becomes

frugally-deep

Header-only library for using Keras models in C++.

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

intelligibility-metricgan

Implementation for paper "iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning"

jiwer

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

jn-scripts

Common things to do for Jetson Nano DTK

keras

Deep Learning for humans

librimix

An open source dataset for source separation

librosa

Python library for audio and music analysis

markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

mpariente

mpariente.github.io

✨ Build a beautiful and simple website in literally minutes.

music-demixing-challenge-starter-kit

Starter kit for getting started in the Music Demixing Challenge.

mytest

First repository

nnresample

A resampling function based on placing the filter's first null on Nyquist (Null-on-Nyquist Resample)

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

ordnmf

pb_bss

Collection of EM algorithms for blind source separation of audio signals

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

pystoi

Python implementation of the Short Term Objective Intelligibility measure

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration