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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
EUR 28,73 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisEUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisVendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 5510952
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783847336792
Quantité disponible : 1 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783847336792
Quantité disponible : 2 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783847336792
Quantité disponible : 2 disponible(s)
Vendeur : dsmbooks, Liverpool, Royaume-Uni
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur D7F7-3-M-3847336797-6
Quantité disponible : 1 disponible(s)