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SMM-based text-to-speech synthesis system with speaker interpolation

Title	SMM-based text-to-speech synthesis system with speaker interpolation
Author	Orhan, Mustafa Cem, Demiroğlu, Cenk
Publication Date:	2011
Publication Place	- IEEE
Subject	Hidden Markov models, Speaker recognition, Speech synthesis
Type	Document
Language	Turkish
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-1-4577-0462-8
Record ID	7c63e4c5-3622-4ce7-9037-c908f89a327f
Library Location	Electrical & Electronics Engineering
Date	2011
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new voices. In this paper, speaker interpolation for HMM-based TTS (HTS) is described and listening test results for the interpolation of English and Turkish voices are presented. Similar to English, we obtained Turkish speech that strongly reflect the interpolation ratio in perceptual similarity. Some insight into the interpolation process is also provided by analysing the spectra of the reference and final voices.
DOI	10.1109/SIU.2011.5929767

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Özyeğin University

SMM-based text-to-speech synthesis system with speaker interpolation

Author Orhan, Mustafa Cem, Demiroğlu, Cenk

Publication Date 2011

Publication Place - IEEE

Subject Hidden Markov models, Speaker recognition, Speech synthesis

Type Document

Language Turkish

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-1-4577-0462-8

Record ID 7c63e4c5-3622-4ce7-9037-c908f89a327f

Library Location Electrical & Electronics Engineering

Date 2011

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

Sample Text Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new voices. In this paper, speaker interpolation for HMM-based TTS (HTS) is described and listening test results for the interpolation of English and Turkish voices are presented. Similar to English, we obtained Turkish speech that strongly reflect the interpolation ratio in perceptual similarity. Some insight into the interpolation process is also provided by analysing the spectra of the reference and final voices.

DOI 10.1109/SIU.2011.5929767