comparison readme.rtf @ 0:e5724c21af7b

Upload the files that I used for ISMIR2012 Emotion recognition
author Yading Song <yadng.song@eecs.qmul.ac.uk>
date Thu, 20 Sep 2012 13:27:02 +0100
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children 2fca2ff3bf81
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1 {\rtf1\ansi\ansicpg1252\cocoartf1138\cocoasubrtf470
2 {\fonttbl\f0\fswiss\fcharset0 Helvetica;}
3 {\colortbl;\red255\green255\blue255;}
4 \paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0
5 \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural
6
7 \f0\fs24 \cf0 \
8 This is the dataset I used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\
9 \
10 It contains 3 parts,\
11 1. The top tags returned by last.fm (four emotion classes: happy, sad, angry, and relax)\
12 2. A list of songs labelled with the retrieved from part 1\
13 3. The fetched song titles that we used in this paper (due to the copyright, we didn't upload preview files)\
14 \
15 Queen Mary University of London\
16 Centre for Digital Music\
17 Yading Song\
18 yading.song@eecs.qmul.ac.uk}