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

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

基もと于PaddlePaddle实现的てき音おと频分类，支持しじEcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等とう各かく种模型がた，还有多た种预处理方法ほうほう

Human Emotion Understanding using multimodal dataset.

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

Music genre classification model using CRNN

一个简单的小网页，录入人声ひとごえ哼唱，转化成かせい钢琴音おん及钢琴きん谱输出で。灵感稍やや纵即逝，本ほん项目的もくてき目め标是能これよし够记录下一いち段だん小しょう调，以音频形式しき输入，读取识别其曲调，并制成なり谱子，最さい终以钢琴弹奏的てき形式けいしき输出，依よ此将一些日常生活中的小灵感保存起来，以便日び后きさき回かい忆甚至いたり再さい创作。

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