hmm-based speech synthesis
Cross-Validation and Minimum Generation Error based Decision Tree Pruning for HMM-based Speech Synthesis
... In HMM-based parametric speech synthesis, binary decision tree based context-dependent model clustering is a necessary step in dealing with data-sparsity problems and predicting model ...
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Soft context clustering for F0 modeling in HMM based speech synthesis
... Numerous binary and non-binary contextual factors are generally taken into account in modeling F0. Conven- tional HMM-based speech synthesis converts all non- binary contextual factors to ...
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A Multi Model HMM Based Speech Synthesis
... model HMM based speech synthesis which it models spectral features and fundamental frequency features separately called spectral model and fundamental frequency model instead of combining them ...
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Reducing over-smoothness in HMM-based speech synthesis using exemplar-based voice conversion
... Although both the spectral and prosodic trajectories generated by HMMSS are over-smooth, the effect of over-smoothness in a spectral sequence is more serious since the structures of spectral features are more com- plex, ...
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Croatian HMM-based Speech Synthesis
... S ANDA M ARTINCIC -I PSIC was born in 1970 in Rijeka, Croatia. She re- ceived B.Sc. degree in computer science from the Faculty of Computer Science and Informatics, University of Ljubljana in 1995 and M. Sc. degree in ...
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Implementation of Text to Speech Conversion Technique
... text-to-speech based on sub-band approach. This paper proposes a sub-band speech synthesis approach to develop high-quality Text-to-Speech ...(HMM)-based speech ...
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An expressive HMM based text to speech synthesis system utilizing glottal inverse filtering for Tamil language
... text-to-speech synthesis (TTS) is to facilitate generating natural sounding speech from impulsive ...constructing speech in diverse speaking styles with different speaker characteristics and ...
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Optimization of Arabic Database and an Implementation for Arabic Speech Synthesis System using HMM: HTS ARAB TALK
... parametric speech synthesis system based on hidden Markov models ...(HMMs). HMM is a new approach that has grown in the last few years which has been proved as a powerful tool in speech ...
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HMM-based Mandarin Singing Voice Synthesis Using Tailored Synthesis Units and Question Sets
... the HMM-based Mandarin speech synthesis, “segmental Tonal Phone Model, STPM” (Huang, 2004) is often adopted to define the HMM-based phone ...parts, based on phonology ...
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Performance Analysis of Text To Speech Synthesis System Using HMM And Prosody Features With Parsing For Tamil Language
... (HMM) based (TTS) system and prosody based (TTS) system has been developed for the Tamil ...emotional speech has been generated by (HMM) using the parametric features of ...(HMM) ...
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HMM-Based Analysis and Synthesis of Emotional Assamese Speech With Reference to its Prosody Features
... The most important advantage that lies in using augmented feature vectors is that the typical dynamic programming algorithms can be used to solve the HMM statistical problems, like the Viterbi and EM algorithms. ...
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A uniform phase representation for the harmonic model in speech synthesis applications
... the speech signal in speech transformation and ...during synthesis, a voicing feature is commonly used, which distinguishes voiced and unvoiced ...The synthesis quality of the resulting ...
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Continuous Expressive Speaking Styles Synthesis based on CVSM and MR HMM
... to speech system was evaluated by means of a perceptual evaluation in order to compare them with traditional approaches to the ...expressive speech synthesis (average of 3.6) although with a drop in ...
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An HMM Based Approach to Automatic Phrasing for Mandarin Text to Speech Synthesis
... Automatic phrasing is essential to Mandarin text- to-speech synthesis. We select word format as target linguistic feature and propose an HMM- based approach to this issue. Then we define four ...
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Phone set selection for HMM based dialect speech synthesis
... Based on a phonetic transcription of the training corpus, flat-start forced alignment with HTK was carried out. Stops are split into two parts, one for the closure and one for plosion plus burst. Ad- ditionally, ...
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Context-dependent acoustic modeling based on hidden maximum entropy model for statistical parametric speech synthesis
... of speech are expressed concurrently in a unified framework of context-dependent multi-space probability distribution hidden semi-Markov model (HSMM) ...context-dependent HMM states, and each group shares ...
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A Simplistic Way of Feature Extraction Directed towards a Better Recognition Accuracy
... Abstract—Feature extraction is an important component of a Recognition system. A better combination of features regarding an object gives rise to a system with promising result. Several feature extraction methods have ...
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Intelligent Speech Interaction with Mechatronic System using HMM
... automatic speech recognition system is proposed, which is based on a combination of Hidden Markov models and dynamic time wrapping and enables to control functions of a system using a set of voice ...
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Performance Evaluation of Blind Equalization for Mel LPC based Speech Recognition under Different Noisy Conditions
... An HMM-based automatic speech recognizer (ASR) was developed and as an enhancement technique in the cepstral domain, the performance of BEQ on Mel-LPC was evaluated on test sets A and C of Aurora 2 ...
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Improved HMM Models for High Performance Speech Recognition
... Improved HMM Models for High Performance Speech Recognition Improved HMM Models for High Performance Speech Recognition S t e v e A u s t i n , C h r i s B a r r y , Y e n L u C h o w , M a n D e r r[.] ...
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