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

Name: Cross-lingual speaker adaptation for statistical speech synthesis using limited data
Author: Sarfjoo, Seyyed Saeed, Demiroğlu, Cenk

İsim	Cross-lingual speaker adaptation for statistical speech synthesis using limited data
Yazar	Sarfjoo, Seyyed Saeed, Demiroğlu, Cenk
Basım Tarihi:	2016
Basım Yeri	- Interspeech
Konu	Cross lingual speaker adaptation, Eigenvoice adaptation, Nearest-neighbor, Speaker adaptation, Statistical speech synthesis
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2308-457X
Kayıt Numarası	04054eaf-40fd-4992-a4e7-53910fe3588d
Lokasyon	Electrical & Electronics Engineering
Tarih	2016
Örnek Metin	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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Cross-lingual speaker adaptation for statistical speech synthesis using limited data

Yazar Sarfjoo, Seyyed Saeed, Demiroğlu, Cenk

Basım Tarihi 2016

Basım Yeri - Interspeech

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

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2308-457X

Kayıt Numarası 04054eaf-40fd-4992-a4e7-53910fe3588d

Lokasyon Electrical & Electronics Engineering

Tarih 2016

Örnek Metin 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