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Synopsis
A text-to-speech (TTS) synthesis system converts natural language text into speech. However, written text of a language contains both standard words (SWs) and non-standard words (NSWs) like numbers, abbreviations, synonyms, currency, and dates. These NSWs cannot be detected by an application of “letter-to-sound” rule.This work try to produce Amharic TTS system, which handle both standard words(SWs) and Non-standard words (NSWs) of Amharic language. The model described in this work has two major parts: Natural language processing (NLP) and Digital signal processing (DSP). The NLP handles the text analysis (transcription of the input SWs and NSWs) and extraction of the speech parameters. The DSP further enable to generate the artificial speech. Finally, the performance of the system shows that on the average 73.35% words both SWs and NSWs correctly pronounced. In addition, an assessment of intelligibility and naturalness of synthesized speech using MOS testing techniques results a score of 3 and 2.83, respectively.The experiment shows a promising result to design an applicable system that synthesis both SWs and NSWs for unrestricted text of a language.
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About the Author
Mr.Alula Tafere was born in 1986 G.C in Gojjam ,Ethiopia. He took his M.Sc. degree in Information Science, from Addis Ababa University in 2010. His B.Sc. degree is in Information Technology from same University in July, 2007.He had been serving as instructor at Adama Science and Technology University, School of Engineering, department of Computing.
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A Generalized Approach To Amharic Text-to-speech(TTS) Synthesis System
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LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3847336797
ISBN 13: 9783847336792
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A text-to-speech (TTS) synthesis system converts natural language text into speech. However, written text of a language contains both standard words (SWs) and non-standard words (NSWs) like numbers, abbreviations, synonyms, currency, and dates. These NSWs cannot be detected by an application of letter-to-sound rule.This work try to produce Amharic TTS system, which handle both standard words(SWs) and Non-standard words (NSWs) of Amharic language. The model described in this work has two major parts: Natural language processing (NLP) and Digital signal processing (DSP). The NLP handles the text analysis (transcription of the input SWs and NSWs) and extraction of the speech parameters. The DSP further enable to generate the artificial speech. Finally, the performance of the system shows that on the average 73.35% words both SWs and NSWs correctly pronounced. In addition, an assessment of intelligibility and naturalness of synthesized speech using MOS testing techniques results a score of 3 and 2.83, respectively.The experiment shows a promising result to design an applicable system that synthesis both SWs and NSWs for unrestricted text of a language. 88 pp. Englisch. Seller Inventory # 9783847336792
Quantity: 2 available
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A Generalized Approach To Amharic Text-to-speech(TTS) Synthesis System
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3847336797
ISBN 13: 9783847336792
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A text-to-speech (TTS) synthesis system converts natural language text into speech. However, written text of a language contains both standard words (SWs) and non-standard words (NSWs) like numbers, abbreviations, synonyms, currency, and dates. These NSWs cannot be detected by an application of letter-to-sound rule.This work try to produce Amharic TTS system, which handle both standard words(SWs) and Non-standard words (NSWs) of Amharic language. The model described in this work has two major parts: Natural language processing (NLP) and Digital signal processing (DSP). The NLP handles the text analysis (transcription of the input SWs and NSWs) and extraction of the speech parameters. The DSP further enable to generate the artificial speech. Finally, the performance of the system shows that on the average 73.35% words both SWs and NSWs correctly pronounced. In addition, an assessment of intelligibility and naturalness of synthesized speech using MOS testing techniques results a score of 3 and 2.83, respectively.The experiment shows a promising result to design an applicable system that synthesis both SWs and NSWs for unrestricted text of a language. Seller Inventory # 9783847336792
Quantity: 1 available
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A Generalized Approach To Amharic Text-to-speech(TTS) Synthesis System
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3847336797
ISBN 13: 9783847336792
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tafere AlulaMr.Alula Tafere was born in 1986 G.C in Gojjam ,Ethiopia. He took his M.Sc. degree in Information Science, from Addis Ababa University in 2010. His B.Sc. degree is in Information Technology from same University in July, 2. Seller Inventory # 5510952
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A Generalized Approach To Amharic Text-to-speech(TTS) Synthesis System
Published by
LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3847336797
ISBN 13: 9783847336792
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Taschenbuch. Condition: Neu. Neuware -A text-to-speech (TTS) synthesis system converts natural language text into speech. However, written text of a language contains both standard words (SWs) and non-standard words (NSWs) like numbers, abbreviations, synonyms, currency, and dates. These NSWs cannot be detected by an application of ¿letter-to-sound¿ rule.This work try to produce Amharic TTS system, which handle both standard words(SWs) and Non-standard words (NSWs) of Amharic language. The model described in this work has two major parts: Natural language processing (NLP) and Digital signal processing (DSP). The NLP handles the text analysis (transcription of the input SWs and NSWs) and extraction of the speech parameters. The DSP further enable to generate the artificial speech. Finally, the performance of the system shows that on the average 73.35% words both SWs and NSWs correctly pronounced. In addition, an assessment of intelligibility and naturalness of synthesized speech using MOS testing techniques results a score of 3 and 2.83, respectively.The experiment shows a promising result to design an applicable system that synthesis both SWs and NSWs for unrestricted text of a language.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Seller Inventory # 9783847336792
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A Generalized Approach To Amharic Text-to-speech(TTS) Synthesis System
Published by
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ISBN 10: 3847336797
ISBN 13: 9783847336792
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