Audio-processing Libraries

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Audio-processing Libraries

🎛 🔊 A Python library for working with audio.

For more examples, see: To cite via BibTeX:

:musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi

Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi. The repository includes everything needed to build an LED strip music visualizer (excluding hardware): To build a…

Data manipulation and transformation for audio signal processing, powered by PyTorch

If you find this package useful, please cite as: This is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets, vouch for their quality or fairnes…

A library for audio and music analysis, feature extraction.

You can use multiple dimensional feature combinations, select different deep learning networks training, study various tasks in the audio field such as Classification, Separation, MIR etc. In the tim…

LedFx is a network based LED effect controller with support for advanced real-time audio effects! LedFx can control multiple devices and works great with cheap ESP8266 nodes allowing for cost effective synchronized effects across your entire house!

LedFx makes your LEDs dance to audio! What LedFx offers is the ability to take audio input, and instantaneously processes the audio into realtime light show to multiple LED strips/matrix. No need to …

Open source audio annotation tool for humans

audino is an open source audio annotation tool. It provides features such as transcription and labeling which enables annotation for Voice Activity Detection (VAD), Diarization, Speaker Identificatio…

Novoic's audio feature extraction library

Install using pip Alternatively, Given a set of components and an optional set of statistics to apply to the time-varying components, extract them using Python. Assume the following directory structu…

Understanding emotions from audio files using neural networks and multiple datasets.

This project presents a deep learning classifier able to predict the emotions of a human speaker encoded in an audio file. The classifier is trained using 2 different datasets, RAVDESS and TESS, and …

scalable audio processing framework and server written in Python

TimeSide is a Python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labelling. Its high-level API is designed to enable complex processing on very large dat…

scalable audio processing framework and server written in Python

Turn an image into sound whose spectrogram looks like the image.

Most sounds are intricate combinations of many acoustic waves each having different frequencies and intensities. A spectrogram is a way to represent sound by plotting time on the horizontal axis and …

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

If you're on macOS, you can install Pipenv easily with Homebrew: Then, you can run the following command to activate a virtualenv. To use this code, the format of source waveforms is as follows. Addi…

Speech noise reduction which was generated using existing post-production techniques implemented in Python

To install:

Python bindings of WebRTC Audio Processing

Python binding of WebRTC Audio Processing. There are two way to build the package. using setup.py using Makefile

Python API & command-line tool to easily transcribe speech-based video files into clean text

Video, specifically audio, is inefficient in conveying dense or technical information. The viewer has to sit through the whole thing, while only part of the video may be relevant to them. If you don'…

Experimental Audio Search Algorithm Implementation (Shazam demo)

This project is about Shazam Demo. You are going to learn how to analyze and index musics to database and search for musics in database. First of all, you should have installed Python version 2.7 and…

Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

All implementations are also available in: The top-level functions are (alphabetical): The names of the additional functions follow the following conventions: Consistent variable naming and formattin…

Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique

A simple yet very powerful noise remover and reducer built in python. The noise removed by using Wavelet Transform. Wavelets has been very powerful tool to decompose the audio signal into parts and a…

pyCrossfade is the result of a personal project to use beat matching, gradual bpm shift on bars, and EQ modification to provide smooth and tunable transitions between music files.

To install the projects dependencies run: The creation of a transition requires two songs, called master and slave songs. Master song is the currently playing track and slave song refers to the next …

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

RNNoise написан на C и имеет методы для шумоподавления одного фрейма длиной 10 миллисекунд. Фрейм должен быть с частотой дискретизации 48000Гц, моно, 16 бит. Установка с помощью pip: И выполнить: Под…

Package for automatic beat-mixing of music files in Python 🐻🎚

Mix two WAV files - Tested on Python 3.6 or later

STFT based real-time pitch and timbre shifting in C++ and Python

Due to frequency vector alteration, the resampled frequency values needs also be multiplied by the resampling factor. Or alternatively just get the packaged library from: To include this library in y…

Your one-stop solution for voice dataset creation

Python 3.8 has been tested, newer versions should work CUDA is required to run all models Pyannote models need to be "signed up for" in Hugging Face for research purposes. Don't worry, all it asks fo…

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

The solutions uploaded in this repository are only for reference when you got stuck somewhere. Please don't use these solutions to pass programming assignments.

:mega: Python library for audio augmentation

On Linux you can use the following commands to get the libraries: On Windows you can use the following installation binaries: On MacOs, use homebrew to install the packages: This library currently su…

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend. Pull requests are welcome. For major chang…

Pythonic audio processing and generation framework

The Python way to audio processing & synthesis. An intuitive, flexible and lightweight library for: Core features: Run the examples below (or some of the example files in the repository). All aud…

Subtitle to audio, generate audio from any subtitle file using Coqui-ai TTS and synchronize the audio timing according to subtitle time.

Subtitle to audio, generate audio/speech from any subtitle file using Coqui-ai TTS and synchronize the audio timing according to subtitle time. ffmpeg on linux To use Coqui Studio Api you'll need to …

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