Mercurial > hg > emotion-recognition
diff 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 |
| parents | |
| children | 2fca2ff3bf81 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/readme.rtf Thu Sep 20 13:27:02 2012 +0100 @@ -0,0 +1,18 @@ +{\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} \ No newline at end of file