High-level feature representation using recurrent neural network for speech emotion recognition

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

Volumn 2015-January, Issue , 2015, Pages 1537-1540

  Lee, Jinkyu ^a   Tashev, Ivan ^b  

^a Yonsei University   (South Korea)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Long short term memory; Recurrent neural network; Speech emotion recognition

Indexed keywords

BRAIN; LEARNING ALGORITHMS; RECURRENT NEURAL NETWORKS; SPEECH; SPEECH COMMUNICATION;

CONTEXTUAL EFFECTS; EFFICIENT LEARNING; EMOTION RECOGNITION; HIGH-LEVEL FEATURES; LONG SHORT TERM MEMORY; RECURRENT NEURAL NETWORK (RNN); SPEECH EMOTION RECOGNITION; SPEECH EMOTION RECOGNITION SYSTEMS;

SPEECH RECOGNITION;

EID: 84959149459     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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