State of mind: classification through self-reported affect and word use in speech

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Interspeech 2018, September 2-6, Hyderabad, India: Speech Research for Emerging Markets in Multilingual Societies, S. 267-271

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2018

Event: Veröffentlichung

(where): Baixas

(who): ISCA

(when): 2018

Creator: Rathner, Eva-Maria
Terhorst, Yannik
Cummins, Nicholas
Schuller, Björn
Baumeister, Harald

Contributor: Yegnanarayana, B.
Sekhar, C. Chandra
Narayanan, Shrikanth
Umesh, S.
Prasanna, S. R. M.
Murthy, Hema A.
Rao, Preeti
Alku, Paavo
Ghosh, Kumar

DOI: 10.21437/interspeech.2018-2043

URN: urn:nbn:de:bvb:384-opus4-441797

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:50 PM CET

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Associated

Rathner, Eva-Maria
Terhorst, Yannik
Cummins, Nicholas
Schuller, Björn
Baumeister, Harald
Yegnanarayana, B.
Sekhar, C. Chandra
Narayanan, Shrikanth
Umesh, S.
Prasanna, S. R. M.
Murthy, Hema A.
Rao, Preeti
Alku, Paavo
Ghosh, Kumar
Universität Augsburg
ISCA

Time of origin

2018

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State of mind: classification through self-reported affect and word use in speech

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Other Objects (12)

Advanced data exploitation in speech analysis: an overview

Continuous emotion recognition in speech: do we need recurrence?

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Politicians’ Self-Reported Social Media Activities

I know how you feel now, and here's why!: Demystifying time-continuous high resolution text-based affect predictions in the wild

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