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Vurgu ve söyleyiş modelleme hatalarının SMM tabanlı Türkçe MKS sistemindeki etkileri
(IEEE, 2011)
SMM tabanlı metinden konuşma sentezleme (SMM-MKS) yöntemi, gün geçtikçe daha 1 fazla araştırmacısının ilgisini çekmektedir. Bu yöntemin en önemli avantajlarından biri, birim seçmeli sistemlerde görülen bozulma etkilerinin ...
DNN-based speaker-adaptive postfiltering with limited adaptation data for statistical speech synthesis systems
(IEEE, 2019)
Deep neural networks (DNNs) have been successfully deployed for acoustic modelling in statistical parametric speech synthesis (SPSS) systems. Moreover, DNN-based postfilters (PF) have also been shown to outperform conventional ...
Eigenvoice speaker adaptation with minimal data for statistical speech synthesis systems using a MAP approach and nearest-neighbors
(IEEE, 2014-12)
Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ...
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
(IEEE, 2012)
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 ...
Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)
Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ...
A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish
(Springer Science+Business Media, 2012)
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 ...
Using eigenvoices and nearest-neighbors in HMM-based cross-lingual speaker adaptation with limited data
(IEEE, 2017-04)
Cross-lingual speaker adaptation for speech synthesis has many applications, such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis systems using ...
Multi-lingual depression-level assessment from conversational speech using acoustic and text features
(International Speech Communication Association, 2018)
Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Its early diagnosis and treatment are critical to reduce the costs and even ...
OCR-aided person annotation and label propagation for speaker modeling in TV shows
(IEEE, 2016)
In this paper, we present an approach for minimizing human effort in manual speaker annotation. Label propagation is used at each iteration of an active learning cycle. More precisely, a selection strategy for choosing the ...
Gauss karışım modeli tabanlı konuşmacı doğrulama sistemlerinde kişiye ve kanala uyarlanmada klasik MAP tabanlı yöntemlerin performans analizi
(IEEE, 2011)
In this paper, performance of Gaussian mixture models (GMM) based algorithms implemented in Speech Processing Laboratory at Ozyegin University, within NIST SRE2004 and 2006 database was reported. Gaussian mixture models ...
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