... this paper are a first step inexamining the potential utility of syntactic features for discriminativelanguagemodelingfor speech recognition. We tried two possible sets of featuresderived from ... Jelinek. 2000. Structured language modeling. Computer Speech and Language, 14(4):283–332.Ciprian Chelba. 2000. Exploiting Syntactic Structure for Nat-ural Language Modeling. Ph.D. thesis, The ... advocated in Rosenfeld etal. (2001), which used Maximum Entropy modeling to allow for the use of shallow syntactic features for language modeling. A second contrast between our work and previ-ous...
... acoustic signal preprocessor is included to form a complete speech recognition system. The language processor consists of a language model and a parser. The language model properly integrates the ... Markov language model, and a simple set of unification grammar rules for the Chinese language, although the present model is in fact language independent. The system is written in C language ... Unification Grammar and Markov Language Model for Speech Recognition- ApplicationS Lee-Feng Chien**, K. J. Chen** and Lin-Shan Lee* * Dept. of Computer Science and Information Engineering, National...
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... Roark, and Murat Saraclar.2005. Discriminativesyntacticlanguagemodeling for speech recognition. In Proceedings of the 43rd AnnualMeeting of the Association for Computational Linguis-tics, ... Jelinek. 2000. Structured language modeling. Computer Speech and Language, 14(4):283–332.Stanley F. Chen and Joshua Goodman. 1998. An empir-ical study of smoothing techniques forlanguage mod-eling. ... substitutiongrammar parsing forlanguage modeling, but do notuse this language model in a translation system. Ourwork, in contrast to the above approaches, exploresthe use of incremental syntacticlanguage models...
... possible errors introduced by the speechrecognition module. 2. Syntax Driven Continuous Speech Recognition The general trend in large vocabulary continuous speechrecognition research is that ... certain task language may be very large if both the size of the vocabulary and the munber of syntactic constraints are large. Performing speech recognition with a very large syntactic FSN ... especially when acoustic verification is peformed. 5. Summary For most speechrecognition and understanding tasks, the syntactic and semantic knowledge for the task is often represented in an...
... Speech is the primary means of communication between people. Speech synthesis, automatic generation of speech waveforms, has been under development for several decades. Recent progress in speech ... Vietnamese language and Vietnamese prosody. 2.1. Vietnamese language 2.1.1. Vietnamese characteristics As we know, Vietnamese language is an amorphous language and a tonal/musical language. ... the produced speech quality, especially the naturalness of speech prosody. Thus, this thesis aims to study the characteristics of Vietnamese prosody for applying to synthesize the speech. This...
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... Webresources forlanguagemodeling in conversational speech recognition. ACM Trans. Speech Lang. Pro-cess., 5(1):1–25.¨Ozg¨ur C¸ etin and Andreas Stolcke. 2005. Lan-guage modeling in the ... smoothing techniques forlanguage model-ing. Computer Speech and Language, 13:359–394.Joshua T. Goodman. 2001. A bit of progress in lan-guage modeling. Computer Speech and Language, 15:403–434.Slava ... number of queries. Alsoresults from languagemodeling and speech recog-nition experiments favored statistical querying.2.3 Web collections obtained For the speechrecognition experiments describedin...
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