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Speaker Adaptation in HMM-Based Persian Speech Synthesis
, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
Text-to-speech synthesis, one of the key technologies in speech processing, is a technique for generating speech signal from arbitrarily given text with target speaker’s voice characteristics and various speaking styles and emotional expressions. Statistical parametric speech synthesishasrecently been shown to be very effective in generating acceptable synthesized speech. Therefore, in this study,the main focus is on one of the instances of these techniquescalled hidden Markov model-based speech synthesis. In text-to-speech systems, it is desirable to synthesize high quality speech using a small amount of speech data; this goal would be achieved by employing speaker adaptation framework and...
HMM-based persian speech synthesis using limited adaptation data
, Article International Conference on Signal Processing Proceedings, ICSP ; Volume 1 , 2012 , Pages 585-589 ; 9781467321945 (ISBN) ; Sameti, H ; Khorram, S ; Sharif University of Technology
2012
Abstract
Speech synthesis systems provided for the Persian language so far need various large-scale speech corpora to synthesize several target speakers' voice. Accordingly, synthesizing speech with a small amount of data seems to be essential in Persian. Taking advantage of a speaker adaptation in the speech synthesis systems makes it possible to generate speech with remarkable quality when the data of the speaker are limited. Here we conducted this method for the first time in Persian. This paper describes speaker adaptation based on Hidden Markov Models (HMMs) in Persian speech synthesis system for FARsi Speech DATabase (FARSDAT). In this regard, we prepared the whole FARSDAT, then for...
Average voice modeling based on unbiased decision trees
, Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Mons ; Volume 7911 LNAI , June , 2013 , Pages 89-96 ; 03029743 (ISSN) ; 9783642388460 (ISBN) ; Khorram, S ; Sameti, H ; Sharif University of Technology
2013
Abstract
Speaker adaptive speech synthesis based on Hidden Semi-Markov Model (HSMM) has been demonstrated to be dramatically effective in the presence of confined amount of speech data. However, we could intensify this effectiveness by training the average voice model appropriately. Hence, this study presents a new method for training the average voice model. This method guarantees that data from every speaker contributes to all the leaves of decision tree. We considered this fact that small training data and highly diverse contexts of training speakers are considered as disadvantages which degrade the quality of average voice model impressively, and further influence the adapted model and synthetic...
Context-dependent acoustic modeling based on hidden maximum entropy model for statistical parametric speech synthesis
, Article Eurasip Journal on Audio, Speech, and Music Processing ; Vol. 2014, Issue. 1 , 2014 ; ISSN: 1687-4714 ; Sameti, H ; Bahmaninezhad, F ; King, S ; Drugman, T ; Sharif University of Technology
2014
Abstract
Decision tree-clustered context-dependent hidden semi-Markov models (HSMMs) are typically used in statistical parametric speech synthesis to represent probability densities of acoustic features given contextual factors. This paper addresses three major limitations of this decision tree-based structure: (i) The decision tree structure lacks adequate context generalization. (ii) It is unable to express complex context dependencies. (iii) Parameters generated from this structure represent sudden transitions between adjacent states. In order to alleviate the above limitations, many former papers applied multiple decision trees with an additive assumption over those trees. Similarly, the current...
Principles of Designing a Chair for Iranian Kitchen, Concerning Kansei Engineering Approach
, M.Sc. Thesis Sharif University of Technology ; Eshraghniaye Jahromi, Abdolhamid (Supervisor) ; Sadeghi Naeini, Hassan ($item.subfieldsMap.e)
Abstract
Iranian women spend a lot of times in the kitchen area in order to have good effects on the family. Unfortunately, we see many of them are suffering from body injuries and particularly musculoskeletal disorders in their middle ages. Many factors cause such problems among which awkward postures are mentioned and with identifying these postures, corrective solutions could be proposed.In this study, firstly, relationship of body injuries with working in the kitchen area is considered, awkward postures are identified and expedient actions are suggested. The aim of this study is chosen designing a suitable task chair for kitchen among the proposed solutions. Then, chair specifications are...