A unit selection text-to-speech synthesis system optimized for use with screen readers

Chalamandaris, Aimilios; Karabetsos, Sotiris; Tsiakoulis, Pirros; Raptis, Spyros

doi:10.1109/tce.2010.5606343

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…Aimilios Chalamandaris and Soteri Karabetsos gives a detailed idea about unit selection based Text to Speech synthesis (TTS) and also gives the impact of Viterbi algorithm over the same [1]. The same team expanded their work for mobile devices where they use only limited resources since it is used only for specific applications [7].…”

Section: Related Workmentioning

confidence: 99%

“…The system is divided into two modules: Natural Language Processing (NLP) and Digital Signal Processing (DSP) [1]. The synthesis takes place in the signal processing part.…”

Section: Introductionmentioning

confidence: 99%

“…The units are concatenated to form the full text. Viterbi helps in selecting the minimum units' selection [1]. Since Viterbi does an in depth selection it has numerous iterations to process and hence working is slower.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Viterbi coder for text to speech synthesis

Padmesh

Kumar

2015

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

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This paper talks about designing an efficient Viterbi coder which can be used for Text to Speech synthesis (TTS). Today numerous applications uses Text to Speech synthesis (TTS) and Viterbi coder plays a key role in producing the synthesized output. Viterbi algorithm includes numerous iterations to produce the output and hence power utilization is more. We propose a technique which uses a memory access technique along with pipelined precomputation to reduce the power utilization and makes a trade off with speed. Here the overall power consumed by memory is 17 mw less than that of the power consumed by circuit used in the system.

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Section: Related Workmentioning

confidence: 99%

“…The system is divided into two modules: Natural Language Processing (NLP) and Digital Signal Processing (DSP) [1]. The synthesis takes place in the signal processing part.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Viterbi coder for text to speech synthesis

Padmesh

Kumar

2015

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

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“…Consequently, integration of TTS systems into embedded systems becomes one of the hottest research issues these days [7][8][9][10]. In an attempt to implement TTS technology on an embedded system, there are two additional requirements imposed on such integrated system, namely a low-memory requirement and a low-computational complexity.…”

Section: Introductionmentioning

confidence: 99%

“…This approach is further classified into two types in terms of the way it is synthesized. One is the corpusbased synthesis units [10][11][12][13] and the other is the small footprint synthesis units approaches [4,[14][15][16][17][18]. This corpus-based speech synthesis technique relies on a unit selection method and compilation of speech units from a large speech database.…”

Section: Introductionmentioning

confidence: 99%

A study on the consistency analysis of energy parameter for Mandarin speech

Shen

Yeh

Hwang

2012

J AUDIO SPEECH MUSIC PROC.

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In this study, a consistency analysis of energy parameter for Mandarin speech is presented. Identified as a result of inspection of the human pronunciation process, the consistency can be interpreted as a high correlation of a warping curve between the spectrum and the prosody intra a syllable. Through three steps in the procedure of the consistency analysis, the hidden Markov model (HMM) algorithm is used first to decode HMM-state sequences within a syllable at the same time as to divide them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Linde-Buzo-Gray algorithm is used to train the VQ codebooks of each segment. Third, the energy vector of each segment is encoded as an index by VQ codebooks, and then the probability of each possible path is evaluated as a prerequisite to analyze the consistency. It is demonstrated experimentally that a consistency is definitely acquired in case the syllable is located exactly in the same word. These results offer a research direction that the energy warping process intra a syllable must be considered in a text-to-speech system to improve the synthesized speech quality.

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Consistency analysis of the spectrum and prosody within a syllable for Mandarin speech

Chen

Yeh

Hwang

et al. 2013

Math Methods in App Sciences

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This work presents a study of Mandarin speech focusing on consistency analysis of the spectrum and prosody within syllables. Identified as a result of inspection of the human pronunciation process, this consistency can be interpreted as a high correlation between the warping curves of the spectrum and the prosody intra a syllable. The consistency analysis consisted of three steps. First, the hidden Markov model algorithm was used to decode the hidden Markov model‐state sequences within a syllable, while at the same time dividing them into three segments. Second, based on a designated syllable, the vector quantization (VQ) with the Linde–Buzo–Gray algorithm was employed to train the VQ codebooks of the prosodic vector of each segment. Third, the prosodic vector of each segment was encoded as an index using the VQ codebooks, and then, to analyze the consistency, the probability of each possible path was evaluated as a prerequisite. Finally, two syllables were used as examples to verify the consistency property found in the experiments. It is demonstrated experimentally that there is definitely consistency in the case where the syllable is located in exactly the same word. These results offer a research direction in that the warping process between the spectrum and the prosody intra a syllable must be considered in text‐to‐speech systems to improve the synthesized speech quality. Copyright © 2013 John Wiley & Sons, Ltd.

show abstract

A unit selection text-to-speech synthesis system optimized for use with screen readers

Cited by 22 publications

References 18 publications

Implementation of Viterbi coder for text to speech synthesis

Implementation of Viterbi coder for text to speech synthesis

A study on the consistency analysis of energy parameter for Mandarin speech

Consistency analysis of the spectrum and prosody within a syllable for Mandarin speech

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