Analysis by synthesis: using an expressive TTS model as feature extractor for paralinguistic speech classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Interspeech 2021, Brno, Czechia, 30 August - 3 September 2021, S. 486-490

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2021

Event: Veröffentlichung

(where): Baixas

(who): ISCA

(when): 2021

Creator: Schiller, Dominik
Mertes, Silvan
Rijn, Pol van
André, Elisabeth

Contributor: Heřmanský, Hynek
Černocký, Honza
Burget, Lukáš
Lamel, Lori
Scharenborg, Odette
Motlicek, Petr

DOI: 10.21437/interspeech.2021-1587

URN: urn:nbn:de:bvb:384-opus4-896877

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Associated

Schiller, Dominik
Mertes, Silvan
Rijn, Pol van
André, Elisabeth
Heřmanský, Hynek
Černocký, Honza
Burget, Lukáš
Lamel, Lori
Scharenborg, Odette
Motlicek, Petr
Universität Augsburg
ISCA

Time of origin

2021

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Analysis by synthesis: using an expressive TTS model as feature extractor for paralinguistic speech classification

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Other Objects (12)

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Synthesising expressive speech – which synthesiser for VOCAs?

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Synthesising expressive speech – which synthesiser for VOCAs?

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Infected phonemes: how a cold impairs speech on a phonetic level

Deep learning in paralinguistic recognition tasks: are hand-crafted features still relevant?

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