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Speech/Non-Speech Classification Slightly Improves Synthesis Quality in PAULE

  • One of the tasks PAULE[1, 2] solves is finding suitable control parameter (cp-)trajectories for a given target acoustic. These cp-trajectories can be used to synthesize speech with the articulatory speech synthesizer of the VocalTractLab (VTL) [3]. If the target acoustic contains substantial microphone noise or other background noises, occasionally PAULE optimizes not for the speech in the target, but for this background noises. By adding a speech/non-speech classifier to the feedback and planning-loop in PAULE this resynthesis of background noises should be mitigated. Unfortunately, the improvements were minor, which might be due to uninformative gradients of the classifier. The importance of informative gradients and the use classifiers to adapt PAULE to different tasks are explained and discussed.

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Metadaten
Author:Konstantin Sering
URN:urn:nbn:de:bvb:898-opus4-70955
DOI:https://doi.org/10.35096/othr/pub-7095
ISBN:978-3-95908-325-6
Parent Title (German):Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024
Publisher:TUDpress
Place of publication:Dresden
Editor:Timo Baumann
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2024
Publishing Institution:Ostbayerische Technische Hochschule Regensburg
Release Date:2024/04/10
First Page:173
Last Page:180
Andere Schriftenreihe:Studientexte zur Sprachkommunikation ; 107
Institutes:Fakultät Informatik und Mathematik
Publication:Externe Publikationen
research focus:Information und Kommunikation
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG