Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi

Name: Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
Author: Orhan, Mustafa Cem, Demiroğlu, Cenk

İsim	Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
Yazar	Orhan, Mustafa Cem, Demiroğlu, Cenk
Basım Tarihi:	2011
Basım Yeri	- IEEE
Konu	Hidden Markov models, Speaker recognition, Speech synthesis
Tür	Belge
Dil	Türkçe
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4577-0462-8
Kayıt Numarası	7c63e4c5-3622-4ce7-9037-c908f89a327f
Lokasyon	Electrical & Electronics Engineering
Tarih	2011
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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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Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi

Yazar Orhan, Mustafa Cem, Demiroğlu, Cenk

Basım Tarihi 2011

Basım Yeri - IEEE

Konu Hidden Markov models, Speaker recognition, Speech synthesis

Tür Belge

Dil Türkçe

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4577-0462-8

Kayıt Numarası 7c63e4c5-3622-4ce7-9037-c908f89a327f

Lokasyon Electrical & Electronics Engineering

Tarih 2011

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

Örnek Metin 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