A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages

Name: A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
Author: Güner, Ekrem, Demiroğlu, Cenk

İsim	A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
Yazar	Güner, Ekrem, Demiroğlu, Cenk
Basım Tarihi:	2012
Basım Yeri	- IEEE
Konu	Hidden Markov models, Natural language processing, Speech intelligibility, Speech synthesis, Statistical analysis
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-0044-5
Kayıt Numarası	519c7f1b-fd96-47cb-89c3-be7fdf3f926c
Lokasyon	Electrical & Electronics Engineering
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly getting more attention from the TTS research community. One of the advantage is the lack of spurious errors that are observed in the unit selection scheme. Another advantage of the HTS system is the small memory footprint requirement which makes it attractive for embedded devices. Here, we propose a novel hybrid statistical unit selection TTS system for agglutinative languages that aims at improving the quality of the baseline HTS system while keeping the memory footprint small. The intelligibility and quality scores of the baseline system are comparable to the MOS scores of English reported in the Blizzard Challenge tests. Listeners preferred the hybrid system over the baseline system in the A/B preference tests.
DOI	10.1109/ICASSP.2012.6288927

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A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages

Yazar Güner, Ekrem, Demiroğlu, Cenk

Basım Tarihi 2012

Basım Yeri - IEEE

Konu Hidden Markov models, Natural language processing, Speech intelligibility, Speech synthesis, Statistical analysis

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-0044-5

Kayıt Numarası 519c7f1b-fd96-47cb-89c3-be7fdf3f926c

Lokasyon Electrical & Electronics Engineering

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly getting more attention from the TTS research community. One of the advantage is the lack of spurious errors that are observed in the unit selection scheme. Another advantage of the HTS system is the small memory footprint requirement which makes it attractive for embedded devices. Here, we propose a novel hybrid statistical unit selection TTS system for agglutinative languages that aims at improving the quality of the baseline HTS system while keeping the memory footprint small. The intelligibility and quality scores of the baseline system are comparable to the MOS scores of English reported in the Blizzard Challenge tests. Listeners preferred the hybrid system over the baseline system in the A/B preference tests.

DOI 10.1109/ICASSP.2012.6288927