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Cross-lingual speaker adaptation for statistical speech synthesis using limited data

Title	Cross-lingual speaker adaptation for statistical speech synthesis using limited data
Author	Sarfjoo, Seyyed Saeed, Demiroğlu, Cenk
Publication Date:	2016
Publication Place	- Interspeech
Subject	Cross lingual speaker adaptation, Eigenvoice adaptation, Nearest-neighbor, Speaker adaptation, Statistical speech synthesis
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2308-457X
Record ID	04054eaf-40fd-4992-a4e7-53910fe3588d
Library Location	Electrical & Electronics Engineering
Date	2016
Sample Text	Cross-lingual speaker adaptation with limited adaptation data has many applications such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis (SSS) systems using limited adaptation data. To that end, we propose two techniques exploiting a bilingual Turkish-English speech database that we collected. In one approach, speaker-specific state-mapping is proposed for cross-lingual adaptation which performed significantly better than the baseline state-mapping algorithm in adapting the excitation parameter both in objective and subjective tests. In the second approach, eigenvoice adaptation is done in the input language which is then used to estimate the eigenvoice weights in the output language using weighted linear regression. The second approach performed significantly better than the baseline system in adapting the spectral envelope parameters both in objective and subjective tests.
DOI	10.21437/Interspeech.2016-345

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Özyeğin University

Cross-lingual speaker adaptation for statistical speech synthesis using limited data

Author Sarfjoo, Seyyed Saeed, Demiroğlu, Cenk

Publication Date 2016

Publication Place - Interspeech

Subject Cross lingual speaker adaptation, Eigenvoice adaptation, Nearest-neighbor, Speaker adaptation, Statistical speech synthesis

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2308-457X

Record ID 04054eaf-40fd-4992-a4e7-53910fe3588d

Library Location Electrical & Electronics Engineering

Date 2016

Sample Text Cross-lingual speaker adaptation with limited adaptation data has many applications such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis (SSS) systems using limited adaptation data. To that end, we propose two techniques exploiting a bilingual Turkish-English speech database that we collected. In one approach, speaker-specific state-mapping is proposed for cross-lingual adaptation which performed significantly better than the baseline state-mapping algorithm in adapting the excitation parameter both in objective and subjective tests. In the second approach, eigenvoice adaptation is done in the input language which is then used to estimate the eigenvoice weights in the output language using weighted linear regression. The second approach performed significantly better than the baseline system in adapting the spectral envelope parameters both in objective and subjective tests.

DOI 10.21437/Interspeech.2016-345