Mercurial > hg > emotion-recognition
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Upload the files that I used for ISMIR2012 Emotion recognition
author | Yading Song <yadng.song@eecs.qmul.ac.uk> |
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date | Thu, 20 Sep 2012 13:27:02 +0100 |
parents | |
children | 2fca2ff3bf81 |
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{\rtf1\ansi\ansicpg1252\cocoartf1138\cocoasubrtf470 {\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;} \paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0 \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural \f0\fs24 \cf0 \ This is the dataset I used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\ \ It contains 3 parts,\ 1. The top tags returned by last.fm (four emotion classes: happy, sad, angry, and relax)\ 2. A list of songs labelled with the retrieved from part 1\ 3. The fetched song titles that we used in this paper (due to the copyright, we didn't upload preview files)\ \ Queen Mary University of London\ Centre for Digital Music\ Yading Song\ yading.song@eecs.qmul.ac.uk}