#计算机科学#Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
#计算机科学#Understanding emotions from audio files using neural networks and multiple datasets.
#计算机科学#A Machine Learning Approach of Emotional Model
#大语言模型#AudioMuse AI: Leverages Librosa for sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin and Navidrome API
#计算机科学#Easier audio-based machine learning with TensorFlow.
(monophonic) audio to midi converter using Python and librosa
Python framework for Speech and Music Detection using Keras.
#计算机科学#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 re...
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
#计算机科学#Music genre classification model using CRNN
Music genre classification from audio spectrograms using deep learning
#计算机科学#Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
#计算机科学#In this Repository, We developed an audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track.