Mercurial > hg > emotion-recognition
diff readme.rtf @ 1:2fca2ff3bf81
Upload part 1 - relaxed files
author | Yading Song <yading.song@eecs.qmul.ac.uk> |
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date | Fri, 27 Mar 2015 22:25:21 +0000 |
parents | e5724c21af7b |
children | 2d307bb5d034 |
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--- a/readme.rtf Thu Sep 20 13:27:02 2012 +0100 +++ b/readme.rtf Fri Mar 27 22:25:21 2015 +0000 @@ -1,16 +1,19 @@ -{\rtf1\ansi\ansicpg1252\cocoartf1138\cocoasubrtf470 -{\fonttbl\f0\fswiss\fcharset0 Helvetica;} +{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210 +\cocoascreenfonts1{\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"\ +This is the emotion dataset 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)\ +4. The audio files were fetched from Last.fm and 7Digital. Due to the copyright issue, this data set is only for research purpose. \ +\ +Feel free to contact me if you have any questions. \ \ Queen Mary University of London\ Centre for Digital Music\