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The goal of this task is to automatically recognize the emotions and themes conveyed in a music recording using machine learning algorithms.
Music is a medium to express emotion. According to literature, music emotion can be quantified continuously as valence and arousal (VA) density distribution on a 2-D space. However, these data are hard to retrieve as they require intense human effort to manually label songs, especially the number of songs become enormous. The goal of this project is to reproduce a model proposed by Chin, Y.-H. et.al (2018), to predict VA density for a new song based on those densities for training songs as well as audio features of both new and training songs. This will help save human labeling effort on new songs in the future. Furthermore, a prototype of content-based music recommender system is built to demonstrate the usability of the algorithm.
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
Acoustic feature extraction using Librosa library and openSMILE toolkit.使用Librosa音频处理库和openSMILE工具包,进行简单的声学特征提取
SQL 审核查询平台
Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)
A JavaScript interface for annotating and labeling audio files.
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Distilling knowledge from BERT to LSTM model
BERT distillation(基于BERT的蒸馏实验 )
Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"
This repository collects information about different data sets for Music Emotion Recognition.
PyTorch codes for implementation/reproduction of the experiments of our paper.
The deeplearning algorithms implemented by tensorflow
DNNAttention: A Deep Neural Network and Attention based architecture forCross Project Defect Number Prediction
🔉 A web app to play, visualize, and annotate your audio files for machine learning
MIDI, WAV domain music emotion recognition [EPOMIA-ISMIR 2021]
Real Time emotion recognition and music player
a list of demo websites for automatic music generation research
Knowledge distillation in text classification with pytorch. 知识蒸馏,中文文本分类,教师模型BERT、XLNET,学生模型biLSTM。
Lightweight library to build and train neural networks in Theano
Python library for audio and music analysis
Sentiment Analysis with LSTMs in Tensorflow
Master thesis on Music Emotion Recognition
music emotion recognition
A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.
Evaluation functions for music/audio information retrieval/signal processing algorithms.
A python implementation using music21 for complexity measurement of musical dimensions (harmony, melody, rhythm).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.