GTM-URL contribution to the INTERSPEECH 2009 Emotion Challenge

Santiago Planet; Ignasi Iriondo; Joan Claudi Socoró; Carlos Monzo; Jordi Adell

GTM-URL contribution to the INTERSPEECH 2009 Emotion Challenge

Santiago Planet, Ignasi Iriondo, Joan Claudi Socoró, Carlos Monzo, Jordi Adell

La Salle Digital Engineering School

Research output: Indexed journal article › Conference article › peer-review

16 Citations (Scopus)

Abstract

This paper describes our participation in the INTERSPEECH 2009 Emotion Challenge [1]. Starting from our previous experience in the use of automatic classification for the validation of an expressive corpus, we have tackled the difficult task of emotion recognition from speech with real-life data. Our main contribution to this work is related to the Classifier Sub-Challenge, for which we tested several classification strategies. On the whole, the results were slightly worse than or similar to the baseline, but we found some configurations that could be considered in future implementations.

Original language	English
Pages (from-to)	316-319
Number of pages	4
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication status	Published - 2009
Event	10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 - Brighton, United Kingdom Duration: 6 Sept 2009 → 10 Sept 2009

Keywords

Challenge
Classification
Emotion
Recognition
Speech parameters

Cite this

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title = "GTM-URL contribution to the INTERSPEECH 2009 Emotion Challenge",

abstract = "This paper describes our participation in the INTERSPEECH 2009 Emotion Challenge [1]. Starting from our previous experience in the use of automatic classification for the validation of an expressive corpus, we have tackled the difficult task of emotion recognition from speech with real-life data. Our main contribution to this work is related to the Classifier Sub-Challenge, for which we tested several classification strategies. On the whole, the results were slightly worse than or similar to the baseline, but we found some configurations that could be considered in future implementations.",

keywords = "Challenge, Classification, Emotion, Recognition, Speech parameters",

author = "Santiago Planet and Ignasi Iriondo and Socor{\'o}, {Joan Claudi} and Carlos Monzo and Jordi Adell",

year = "2009",

language = "English",

pages = "316--319",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

note = "10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 ; Conference date: 06-09-2009 Through 10-09-2009",

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TY - JOUR

T1 - GTM-URL contribution to the INTERSPEECH 2009 Emotion Challenge

AU - Planet, Santiago

AU - Iriondo, Ignasi

AU - Socoró, Joan Claudi

AU - Monzo, Carlos

AU - Adell, Jordi

PY - 2009

Y1 - 2009

N2 - This paper describes our participation in the INTERSPEECH 2009 Emotion Challenge [1]. Starting from our previous experience in the use of automatic classification for the validation of an expressive corpus, we have tackled the difficult task of emotion recognition from speech with real-life data. Our main contribution to this work is related to the Classifier Sub-Challenge, for which we tested several classification strategies. On the whole, the results were slightly worse than or similar to the baseline, but we found some configurations that could be considered in future implementations.

AB - This paper describes our participation in the INTERSPEECH 2009 Emotion Challenge [1]. Starting from our previous experience in the use of automatic classification for the validation of an expressive corpus, we have tackled the difficult task of emotion recognition from speech with real-life data. Our main contribution to this work is related to the Classifier Sub-Challenge, for which we tested several classification strategies. On the whole, the results were slightly worse than or similar to the baseline, but we found some configurations that could be considered in future implementations.

KW - Challenge

KW - Classification

KW - Emotion

KW - Recognition

KW - Speech parameters

UR - http://www.scopus.com/inward/record.url?scp=70450186224&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:70450186224

SN - 2308-457X

SP - 316

EP - 319

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

T2 - 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009

Y2 - 6 September 2009 through 10 September 2009

ER -

GTM-URL contribution to the INTERSPEECH 2009 Emotion Challenge

Abstract

Keywords

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