Towards speech robustness for acoustic scene classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Interspeech 2020, Shanghai, China, 25-29 October 2020, S. 3087-3091

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg, ISCA

(when): 2020

Creator: Liu, Shuo
Triantafyllopoulos, Andreas
Ren, Zhao
Schuller, Björn

Contributor: Meng, Helen
Xu, Bo
Zheng, Thomas

DOI: 10.21437/interspeech.2020-2365

URN: urn:nbn:de:bvb:384-opus4-907464

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:53 PM CET

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Associated

Liu, Shuo
Triantafyllopoulos, Andreas
Ren, Zhao
Schuller, Björn
Meng, Helen
Xu, Bo
Zheng, Thomas
Universität Augsburg, ISCA

Time of origin

2020

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Towards speech robustness for acoustic scene classification

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Other Objects (12)

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A real-time speech enhancement framework in noisy and reverberated acoustic scenarios

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Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

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Real-time speech recognition in a multi-talker reverberated acoustic scenario

Recognizing emotions from whispered speech based on acoustic feature transfer learning

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Real-time speech recognition in a multi-talker reverberated acoustic scenario

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Robust acoustic speech emotion recognition by ensembles of classifiers

A real-time speech enhancement framework in noisy and reverberated acoustic scenarios

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