#计算机科学#Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
#计算机科学#Understanding emotions from audio files using neural networks and multiple datasets.
#大语言模型#AudioMuse-AI leverages Librosa and TensorFlow for sonic analysis, powering similar song discovery and smart playlists within Jellyfin and Navidrome API.
#计算机科学#A Machine Learning Approach of Emotional Model
LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc
#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#Human Emotion Understanding using multimodal dataset.
#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
NineSong aims to provide Cloud native and AI extended solutions for data sharing in various ToC businesses
Music Synthesis with Python talk, originally given at PyGotham 2017.
#计算机科学#Music genre classification model using CRNN