1995
DOI: 10.1016/0167-6393(95)00035-m
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Operational and experimental French telecommunication services using CNET speech recognition and text-to-speech synthesis

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Cited by 22 publications
(6 citation statements)
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“…The proposed algorithm was implemented with the CNET speech recognition softwares [13], [27], using the stateoptimized likelihood as performance criterion (segmental training). The acoustical parameters consisted of the logenergy plus the first eight mel cepstral coefficients with firstand second-order parameters appended.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The proposed algorithm was implemented with the CNET speech recognition softwares [13], [27], using the stateoptimized likelihood as performance criterion (segmental training). The acoustical parameters consisted of the logenergy plus the first eight mel cepstral coefficients with firstand second-order parameters appended.…”
Section: Resultsmentioning
confidence: 99%
“…If we look at this question from a more practical point of view, it is easily checked from the reestimation equations (23)- (27), that if two densities belonging to the same state are tied at some iteration, they will stay tied together for all subsequent iterations. Such a tying is thus equivalent to reducing by one the number of components in the considered mixture.…”
Section: Appendix C Extension To the Mixture Casementioning
confidence: 99%
“…CNET Network Inc. (Center of the National d'Etudes des Telecommunication) is a telecommunication research and development center of France Telecom issued several criteria as a reference in the development of web-based application systems [25]. The criteria are as follows.…”
Section: Cnet (Builder)mentioning
confidence: 99%
“…The top 5 PTS programs available today are: Balabolka (Andipurnama, Wiguna, Susetyo, & Novianti, 2022;Pramono, 2022), NaturalReader (Fitria, 2022;Virdaus & Rifa'i, 2021), Lecteur de rêves vocal (Fichten et al, 2022;Fitria, 2022)., Amazon Polly (Carvalho Afonso, Almeida, Beça, Silva, & Covalenco, 2022;Chan, Ghosh, Rastrow, & Hoffmeister, 2023) and Speechify (Amin, 2022;Kiseleva & Novikov, 2023). Among the applications of text-to-speech in the field of telecommunications services (Sorin et al, 1995), we can mention an important aspect of the applications of text-to-speech synthesis concerns services for people with disabilities. For example, the development of a voice communication support system for a patient living in an Algerian environment could involve coding, compression and synthesis systems, in particular that carried out from the so-called TTS.…”
Section: Introductionmentioning
confidence: 99%