research-article

The opportunity of using eSpeak as text-to-speech synthesizer for Albanian language

Authors:

Ramiz Kastrati,

Mentor Hamiti,

Lejla AbaziAuthors Info & Claims

CompSysTech '14: Proceedings of the 15th International Conference on Computer Systems and Technologies

Pages 179 - 186

https://doi.org/10.1145/2659532.2659641

Published: 27 June 2014 Publication History

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Abstract

The development of the Text-to-Speech (TTS) field is not at the same level in all countries and for all languages. This was obviously conditioned by the differences in speaking and writing in different languages, but also and by the economic justification for research in national terms. Therefore it is evident that the advancement of this field for local languages has not made any significant progress in comparison with the English language. In this context, within this paper is explored the possibility of using the existing TTS converters dedicated for English language [3], for the Albanian language. In particular eSpeak is treated as a compact open source software for speech synthesizer in English, which uses the method of synthesis formant and supports the synthesis of some other words in other languages. The research is focused on two aspects, in determining the understanding of words generated by this system and in determining the feasibility of using eSpeak for generating of speech in Albanian.

References

[1]

Bickley C, Syrdal A, and Schroeter J. (1998). Speech Synthesis: in the Acoustics of Speech Communication, Picket J. M, Ed., Boston, NY: Allyn and Bacon.

Google Scholar

[2]

D. L. Gibson, T. J. Gillott and L. A. Helliker. "Textalk: the BT text to speech system", Br Telecom Techol J 6, No 2,(April 1988.

Google Scholar

[3]

D. J. Ravi, Sudarshan Patilkulkarni. "Evaluation of kannada text-to-speech {ktts} system", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 1, January 2012

Google Scholar

[4]

eSpeak, Available: http://espeak.sourceforge.net/index.html, Accessed: 20.04.2013

Google Scholar

[5]

Formant Synthesis, Available: http://www.text2speech.com/formant.html, Accessed: 20.04.2013

Google Scholar

[6]

Goldstein M. (1995). "Classification of Methods Used for Assessment of Text-to-Speech Systems According to the Demands Placed on the Listener", Speech Communication vol. 16: 225--244.

Digital Library

Google Scholar

[7]

IPA, The international Phonetic Association, Available: http://www.langsci.ucl.ac.uk/ipa/fullchart.html Ac-cessed: 19.12.2012

Google Scholar

[8]

Lemmetty S. "Review of Speech Synthesis Technology", MSc. Thesis, Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, Finland, 1999.

Google Scholar

[9]

Salza, P. L., Foti, E., Nebbia, L., and Oreglia, M. (1996). "MOS and pair comparison combined methods for quality evaluation of text to speech systems", Acta Acustica, 82, 650--656.

Google Scholar

[10]

Shaban Demiraj. "The Origin of the Albanians", Academy of Sciences of Albania, Tirana, 1988.

Google Scholar

[11]

Shradha Mohanan, Sonam Salkar, al. "Text To Speech Synthesizer for Konkani Language", International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012

Google Scholar

Cited By

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Wang ZMa XMu C(2019)Research on Intelligent Speech Guide Robot Control Method Based on Machine VisionIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/646/1/012064646:1(012064)Online publication date: 1-Oct-2019
https://doi.org/10.1088/1757-899X/646/1/012064
Koshi BBajrami XHamiti M(2016)Alternative Creation of Text to Speech Technology for the Albanian LanguageIFAC-PapersOnLine10.1016/j.ifacol.2016.11.06349:29(259-262)Online publication date: 2016
https://doi.org/10.1016/j.ifacol.2016.11.063

Index Terms

The opportunity of using eSpeak as text-to-speech synthesizer for Albanian language
1. Applied computing
  1. Arts and humanities
    1. Language translation
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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CompSysTech '14: Proceedings of the 15th International Conference on Computer Systems and Technologies

June 2014

489 pages

ISBN:9781450327534

DOI:10.1145/2659532

Editors:
Boris Rachev
QUERBIE Inc., Woburn MA
,
Angel Smrikarov
University of Ruse, Ruse, Bulgaria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 27 June 2014

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CompSysTech'14: 15th International Conference on Computer Systems and Technologies

June 27 - 28, 2014

Ruse, Bulgaria

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CompSysTech '14 Paper Acceptance Rate 56 of 107 submissions, 52%;

Overall Acceptance Rate 241 of 492 submissions, 49%

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Wang ZMa XMu C(2019)Research on Intelligent Speech Guide Robot Control Method Based on Machine VisionIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/646/1/012064646:1(012064)Online publication date: 1-Oct-2019
https://doi.org/10.1088/1757-899X/646/1/012064
Koshi BBajrami XHamiti M(2016)Alternative Creation of Text to Speech Technology for the Albanian LanguageIFAC-PapersOnLine10.1016/j.ifacol.2016.11.06349:29(259-262)Online publication date: 2016
https://doi.org/10.1016/j.ifacol.2016.11.063

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Electronic Dictionaries and Transducers for Automatic Processing of the Albanian Language

Building an annotated corpus for the Albanian language using bilingual projections and regular expressions

Robust Arabic speech recognition in noisy environments using prosodic features and formant

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