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2019-emotion-and-theme-recognition-in-music-task

The goal of this task is to automatically recognize the emotions and themes conveyed in a music recording using machine learning algorithms.

201912-20-music-emotion-recognition

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.

ab_distillation

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

acousticfeatureextraction

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

archery

SQL 审核查询平台

attention-feature-distillation

Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

audio-annotator

A JavaScript interface for annotating and labeling audio files.

audioset_classification

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

bert-lstm-distillation

Distilling knowledge from BERT to LSTM model

bert_distill

BERT distillation（基于BERT的蒸馏实验 ）

chinese-musical-instruments-classification

cpsca

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

datasets_emotion

This repository collects information about different data sets for Music Emotion Recognition.

dcase2019specialistkd

PyTorch codes for implementation/reproduction of the experiments of our paper.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

dnnattention

DNNAttention: A Deep Neural Network and Attention based architecture forCross Project Defect Number Prediction

echoml

🔉 A web app to play, visualize, and annotate your audio files for machine learning

emopia_cls

MIDI, WAV domain music emotion recognition [EPOMIA-ISMIR 2021]

emotion_ai

Real Time emotion recognition and music player

genmusic_demo_list

a list of demo websites for automatic music generation research

knowledgedistillation

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。

lasagne

Lightweight library to build and train neural networks in Theano

librosa

Python library for audio and music analysis

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

masterthesis

Master thesis on Music Emotion Recognition

mer

music emotion recognition

midi_degradation_toolkit

A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.

mir_eval

Evaluation functions for music/audio information retrieval/signal processing algorithms.

music-complexity

A python implementation using music21 for complexity measurement of musical dimensions (harmony, melody, rhythm).