This project is a web-based application that converts text into audio, primarily focusing on creating audiobooks.

This is a very simple unoficcial and

This is a list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. It is mainly used for speech recognition, speech synthesis, singing voice synthesis, music information retrieval, music generation, etc.

The source code of "A Streamlined Encoder/Decoder Architecture for Melody Extraction"

Synthesizer application written in JavaScript using Web Audio API.

Stream and file based music metadata parser for node. Supporting a wide range of audio and tag formats.

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Speech emotion recognition using MLP and CNN on four benchmark datasets RAVDESS SAVEE TESS and EmoDB

Source code for "MusCaps Generating Captions for Music Audio" (IJCNN 2021)

Song Popularity Prediction Using Machine Learning Algorithms

sliding HPSS and two stage HPSS (singing voice enhancement)

Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012/2022

simplistic pitch-detection-based music transcriber

Sample app to join/leave a channel, mute/unmute, and switch between the speaker/headset.

Reproduction of DepAudioNet by Ma et al. {DepAudioNet An Efficient Deep Model for Audio based Depression Classification,(https//dl.acm.org/doi/10.1145/2988257.2988267), AVEC 2016}

Reproducible research code for the experiments presented in our article "Kara1k a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017

Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022) Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.

python wrapper for rubberband

Python script for analyzing and tagging music files by key and BPM

Python library for opening and managing Band-in-a-Box (BIAB) files.

pyace A python implementation of automatic chord estimation (ACE) from audio

Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C

ONNX deployment of the CREPE pitch tracker

Online web based mel-spectrum, power spectrum, FFT analyzer for speech and music processing

Official PyTorch implementation of Contrastive Learning of Musical Representations

Official Code of "A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task" (ISMIR 2023)

nowplaying-RS Music Recommendation using Factorization Machines

NIPS2017 "Time Domain Neural Audio Style Transfer" code repository

Network Analysis of Generalized Musical Spaces

musical_score music segmentation in audio domain