Python library for audio and music analysis

NSMusicS，Multi platform Multi mode Music Software ，Electron(Vue3+Vite+TypeScript)+.net core+AI

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.

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

A command-line music video generator based on rhythm

A Machine Learning Approach of Emotional Model

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

LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc

Easier audio-based machine learning with TensorFlow.

Python framework for Speech and Music Detection using Keras.

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

(monophonic) audio to midi converter using Python and librosa

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

Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).

Music Synthesis with Python talk, originally given at PyGotham 2017.

Human Emotion Understanding using multimodal dataset.

Music genre classification model using CRNN

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。

Image Processing, Speech Processing, Encoder Decoder, Research Paper implementation