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Reseach Article

Extraction of Speech Parameters from Speech Database using Festival

by Sangramsing N. Kayte, Monica Mundada
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 13
Year of Publication: 2016
Authors: Sangramsing N. Kayte, Monica Mundada
10.5120/ijca2016907882

Sangramsing N. Kayte, Monica Mundada . Extraction of Speech Parameters from Speech Database using Festival. International Journal of Computer Applications. 134, 13 ( January 2016), 5-10. DOI=10.5120/ijca2016907882

@article{ 10.5120/ijca2016907882,
author = { Sangramsing N. Kayte, Monica Mundada },
title = { Extraction of Speech Parameters from Speech Database using Festival },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 13 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number13/23972-2015907882/ },
doi = { 10.5120/ijca2016907882 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:05.663919+05:30
%A Sangramsing N. Kayte
%A Monica Mundada
%T Extraction of Speech Parameters from Speech Database using Festival
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 13
%P 5-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech synthesis is the process of production of artificial speech. The system used for generation of speech from text is called as text-to-speech (TTS) system. In TTS system, text and voice models for a particular language or multiple languages are given as input to the system, which generates speech as output corresponding to the provided voice models. Speech synthesis systems can be extremely useful to people who are visually challenged, visually impaired and illiterate to get into the mainstream society. More recent applications include spoken dialogue systems and communicative robots. HMM (Hidden Markov Model) based Speech synthesis is the emerging technology for TTS. HMM based speech synthesis system consists of training phase and synthesis phase. In the training part, phone and excitation parameters are extracted from speech database and modeled by context dependent HMMs. In synthesis part, the system will extract the suitable phone and excitation parameters from the previously trained models and generates the speech. The main objective of this project is to build an HMM based speech synthesis system. In the training process, the system uses HTK (Hidden Markov Model Tool Kit) and SPTK (Signal Processing Tool Kit) developed at Cambridge University and Tokyo Institute of Technology respectively. Synthesis part is be done by „Festival‟. Festival is a speech synthesis tool for the generation of speech and it is language independent which is developed at the University of Edinburgh. The main advantage of this approach is its flexibility in changing speaker identities, emotions and speaking styles.

References
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  2. Sangramsing Kayte, Monica Mundada, Dr. Charansing Kayte "Implementation of Marathi Language Speech Databases for Large Dictionary" IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 40-45e-ISSN: 2319 –4200, p-ISSN No. : 2319 –4197
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  5. Sangramsing Kayte, Monica Mundada,Dr. Charansing Kayte “Screen Readers for Linux and Windows – Concatenation Methods and Unit Selection based Marathi Text to Speech System” International Journal of Computer Applications (0975 – 8887) Volume 130 – No.14, November 2015
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  8. Monica Mundada, Sangramsing Kayte “Classification of speech and its related fluency disorders Using KNN” ISSN2231-0096 Volume-4 Number-3 Sept 2014
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  12. Sangramsing Kayte, Monica Mundada, Dr. Charansing Kayte " Performance Calculation of Speech Synthesis Methods for Hindi language IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 13-19e-ISSN: 2319 –4200, p-ISSN No. : 2319 –4197
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  19. Sangramsing Kayte,Dr. Charansing Kayte “Screen Readers for Linux and Windows – Concatenation Methods and Unit Selection based Marathi Text to Speech System” International Journal of Computer Applications (0975 – 8887) Volume 130 – No.14, November 2015
  20. Sangramsing Kayte,“ Hidden Markov Model based Speech Synthesis: A Review” International Journal of Computer Applications (0975 – 8887) Volume 130 – No.3, November 2015
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  23. Sangramsing Kayte "Duration for Classification and Regression Tree for Marathi Text-to-Speech Synthesis System" Sangramsing Kayte Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part-4)November2015
  24. Sangramsing Kayte "Transformation of feelings using pitch parameter for Marathi speech" Sangramsing Kayte Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part -4) November 2015, pp.120-124
  25. Sangramsing Kayte,Dr. Charansing N. Kayte, Dr.Bharti Gawali " Artificially Generatedof Concatenative Syllable based Text to Speech Synthesis System for Marathi" OSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. II (Nov -Dec. 2015), PP 44-49e-ISSN: 2319 –4200, p-ISSN No. : 2319 –4197
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  28. Sangramsing Kayte,Dr. Charansing N. Kayte, Dr.Bharti Gawali "Implementation of Text To Speech for Marathi Language Using Transcriptions Concept" Sangramsing N. Kayte et al. Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 5) November 2015, pp.33-36
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  38. Sangramsing N.Kayte , Monica Mundada "Overview of Hidden Markov Model for Test-To-Speech Synthesis Methods " International Journal Of Engineering And Computer Science ISSN:2319-7242Volume –4 Issue -12 December, 2015Page No.15303-15311
Index Terms

Computer Science
Information Sciences

Keywords

HMM (Hidden Markov Model) SPTK HTK.