A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish

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

Title	A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish
Author	Güner, Ekrem, Demiroğlu, Cenk
Publication Date:	2012
Publication Place	- Springer Science+Business Media
Subject	Speech synthesis, Hybrid TTS, HMM-based TTS, Turkish TTS, Small memory footprint, Agglutinative languages
Type	Book
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-1-4471-2155-8
Record ID	69c095ad-6ac4-4ce0-a476-898e8e6609dc
Library Location	Electrical & Electronics Engineering
Date	2012
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	Unit selection based text-to-speech synthesis (TTS) can generate high quality speech. However, The HMM-based text-to-speech (HTS) has also advantages such as the lack of spurious errors that are observed in the unit selection scheme. Another advantage is the small memory footprint requirement. 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. Listeners preferred the hybrid system over a state-of-the-art HTS baseline system in the A/B preference tests.

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Özyeğin University

A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish

Author Güner, Ekrem, Demiroğlu, Cenk

Publication Date 2012

Publication Place - Springer Science+Business Media

Subject Speech synthesis, Hybrid TTS, HMM-based TTS, Turkish TTS, Small memory footprint, Agglutinative languages

Type Book

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-1-4471-2155-8

Record ID 69c095ad-6ac4-4ce0-a476-898e8e6609dc

Library Location Electrical & Electronics Engineering

Date 2012

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

Sample Text Unit selection based text-to-speech synthesis (TTS) can generate high quality speech. However, The HMM-based text-to-speech (HTS) has also advantages such as the lack of spurious errors that are observed in the unit selection scheme. Another advantage is the small memory footprint requirement. 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. Listeners preferred the hybrid system over a state-of-the-art HTS baseline system in the A/B preference tests.