Mercurial > hg > emotion-recognition
annotate readme.rtf @ 8:a690d5f1de40
part 2 - happy files
| author | Yading Song <yading.song@eecs.qmul.ac.uk> |
|---|---|
| date | Fri, 27 Mar 2015 22:59:45 +0000 |
| parents | 2fca2ff3bf81 |
| children | 2d307bb5d034 |
| rev | line source |
|---|---|
| yading@1 | 1 {\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210 |
| yading@1 | 2 \cocoascreenfonts1{\fonttbl\f0\fswiss\fcharset0 Helvetica;} |
| yadng@0 | 3 {\colortbl;\red255\green255\blue255;} |
| yadng@0 | 4 \paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0 |
| yadng@0 | 5 \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural |
| yadng@0 | 6 |
| yadng@0 | 7 \f0\fs24 \cf0 \ |
| yading@1 | 8 This is the emotion dataset used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\ |
| yadng@0 | 9 \ |
| yadng@0 | 10 It contains 3 parts,\ |
| yadng@0 | 11 1. The top tags returned by last.fm (four emotion classes: happy, sad, angry, and relax)\ |
| yadng@0 | 12 2. A list of songs labelled with the retrieved from part 1\ |
| yadng@0 | 13 3. The fetched song titles that we used in this paper (due to the copyright, we didn't upload preview files)\ |
| yading@1 | 14 4. The audio files were fetched from Last.fm and 7Digital. Due to the copyright issue, this data set is only for research purpose. \ |
| yading@1 | 15 \ |
| yading@1 | 16 Feel free to contact me if you have any questions. \ |
| yadng@0 | 17 \ |
| yadng@0 | 18 Queen Mary University of London\ |
| yadng@0 | 19 Centre for Digital Music\ |
| yadng@0 | 20 Yading Song\ |
| yadng@0 | 21 yading.song@eecs.qmul.ac.uk} |