Python library for audio and music analysis

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

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

A Machine Learning Approach of Emotional Model

A command-line music video generator based on rhythm

An open-source Python library for audio time-scale modification.

Easier audio-based machine learning with TensorFlow.

Python framework for Speech and Music Detection using Keras.

(monophonic) audio to midi converter using Python and librosa

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

基于PaddlePaddle实现的音频分类，支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型，还有多种预处理方法

一个简单的小网页，录入人声哼唱，转化成钢琴音及钢琴谱输出。灵感稍纵即逝，本项目的目标是能够记录下一段小调，以音频形式输入，读取识别其曲调，并制成谱子，最终以钢琴弹奏的形式输出，依此将一些日常生活中的小灵感保存起来，以便日后回忆甚至再创作。

Music genre classification model using CRNN

Music genre classification from audio spectrograms using deep learning

Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.

Artificial intelligence bot for live voice improvisation

100行代码实现简单音乐卡点

Automatically sync, mix, and draw virtual choir videos from raw tracks of individual recordings. You may need some singing skills but you don't need video editing skills or additional software.

In this Repository, We developed an audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track.

A program that uses neural networks to detect emotions from pre-recorded and real-time speech