Embedded Design of an Emotion-Aware Music Player
In this paper, a novel human-robot interaction(HRI) design is proposed where emotional recognition from the speech signal is used to create an emotion-aware music player that can be implemented in an embedded platform. The proposed system maps an inputted short-speech utterance to a two dimensional...
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| creator | Cervantes, Carlos A. Kai-Tai Song |
| description | In this paper, a novel human-robot interaction(HRI) design is proposed where emotional recognition from the speech signal is used to create an emotion-aware music player that can be implemented in an embedded platform. The proposed system maps an inputted short-speech utterance to a two dimensional emotional plane of valence and arousal. This strategy allows the system to automatically select a piece of music from a database of songs, of which emotions are also expressed using arousal and valence values. Furthermore, a cheer-up strategy is proposed such that music songs with varying emotional content are played in order to cheer up the user to a more neutral/happy state. The proposed system has been implemented in a Beagle board. The online test verified the feasibility of the system. A questionnaire survey shows that 80% of subjects agree with the songs selected by the proposed cheer-up strategy based on the emotional model. |
| doi_str_mv | 10.1109/SMC.2013.431 |
| format | Conference Proceeding |
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A questionnaire survey shows that 80% of subjects agree with the songs selected by the proposed cheer-up strategy based on the emotional model.</description><subject>Emotion recognition</subject><subject>emotional model</subject><subject>Feature extraction</subject><subject>human-robot interaction</subject><subject>Speech</subject><subject>Speech processing</subject><subject>Speech recognition</subject><subject>Vectors</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>1479906522</isbn><isbn>9781479906529</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzMtKxDAUANAoCnZGd-7c5AdSk5vcPJZDrQ-YQUEFd0PS3kpk2ko7IvP3Cro6u8PYpZKlUjJcP2-qEqTSpdHqiC2UcSFIiwDHrAB0TiiLeMIKJS2IAPB2xhbz_CElSKN8wWTdJ2pbavkNzfl94GPH48DrftzncRCr7zgR33zNueFPu3ig6ZyddnE308W_S_Z6W79U92L9ePdQrdYiK4d7ETqPv21MjdQxeBeMxqCcbzqTIBmUrSeH6FJovUmIjQGyFiiQIZKY9JJd_b2ZiLafU-7jdNhaB6C80T9IMkLk</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Cervantes, Carlos A.</creator><creator>Kai-Tai Song</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201310</creationdate><title>Embedded Design of an Emotion-Aware Music Player</title><author>Cervantes, Carlos A. ; Kai-Tai Song</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-9f85ddeabc03a98794359178cf4b2b450d8e7557b9d84b55c42e662e9e4ee05b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Emotion recognition</topic><topic>emotional model</topic><topic>Feature extraction</topic><topic>human-robot interaction</topic><topic>Speech</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Cervantes, Carlos A.</creatorcontrib><creatorcontrib>Kai-Tai Song</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cervantes, Carlos A.</au><au>Kai-Tai Song</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Embedded Design of an Emotion-Aware Music Player</atitle><btitle>2013 IEEE International Conference on Systems, Man, and Cybernetics</btitle><stitle>smc</stitle><date>2013-10</date><risdate>2013</risdate><spage>2528</spage><epage>2533</epage><pages>2528-2533</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><eisbn>1479906522</eisbn><eisbn>9781479906529</eisbn><coden>IEEPAD</coden><abstract>In this paper, a novel human-robot interaction(HRI) design is proposed where emotional recognition from the speech signal is used to create an emotion-aware music player that can be implemented in an embedded platform. The proposed system maps an inputted short-speech utterance to a two dimensional emotional plane of valence and arousal. This strategy allows the system to automatically select a piece of music from a database of songs, of which emotions are also expressed using arousal and valence values. Furthermore, a cheer-up strategy is proposed such that music songs with varying emotional content are played in order to cheer up the user to a more neutral/happy state. The proposed system has been implemented in a Beagle board. The online test verified the feasibility of the system. A questionnaire survey shows that 80% of subjects agree with the songs selected by the proposed cheer-up strategy based on the emotional model.</abstract><pub>IEEE</pub><doi>10.1109/SMC.2013.431</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013, p.2528-2533 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Emotion recognition emotional model Feature extraction human-robot interaction Speech Speech processing Speech recognition Vectors |
| title | Embedded Design of an Emotion-Aware Music Player |
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