discriminative syntactic language modeling for speech recognition

... this paper are a first step in examining the potential utility of syntactic features for discriminative language modeling for speech recognition. We tried two possible sets of features derived 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 et al. (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...

Ngày tải lên: 20/02/2014, 15:20

... 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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... Jelinek. 2002. A study on richer syntactic dependencies for structured language modeling. In Proceedings of the Association for Computational Linguistics. Association for Com- putational Linguistics. Ying ... Association for Computa- tional Linguistics. Colin Cherry and Chris Quirk. 2008. Discriminative, syntactic language modeling through latent SVMs. In Proceedings of The Association for Machine ... Association for Computational Linguistics, pages 959–968, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Large-Scale Syntactic Language Modeling with...

Ngày tải lên: 19/02/2014, 19:20

... Roark, and Murat Saraclar. 2005. Discriminative syntactic language modeling for speech recognition. In Proceedings of the 43rd Annual Meeting 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 for language mod- eling. ... substitution grammar parsing for language modeling, but do not use this language model in a translation system. Our work, in contrast to the above approaches, explores the use of incremental syntactic language models...

Ngày tải lên: 20/02/2014, 04:20

... possible errors introduced by the speech recognition module. 2. Syntax Driven Continuous Speech Recognition The general trend in large vocabulary continuous speech recognition 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 speech recognition and understanding tasks, the syntactic and semantic knowledge for the task is often represented in an...

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... 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...

Ngày tải lên: 19/02/2014, 08:58

... speech recognition. In Interspeech- ICSLP, pages 1233–1236. Bing-Hwang Juang, Wu Chou, and Chin-Hui Lee. 1997. Minimum classification error rate methods for speech recognition. IEEE Trans. Speech ... ex- traction for Chinese information retrieval. In SIGIR, pages 50–58. Sabine Deligne and Yoshinori Sagisaka. 2000. Sta- tistical language modeling with a class-based n- multigram model. Comp. Speech ... speech recognition with morph language models applied to Finnish. Comp. Speech Lang. Mei-Yuh Hwang, Xin Lei, Wen Wang, and Takahiro Shinozaki. 2006. Investigation on mandarin broadcast news speech...

Ngày tải lên: 20/02/2014, 07:20

... Web resources for language modeling 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 for language 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. Also results from language modeling and speech recog- nition experiments favored statistical querying. 2.3 Web collections obtained For the speech recognition experiments described in...

Ngày tải lên: 22/02/2014, 02:20

... 2002. Discriminative training of language models for speech recognition. In ICASSP. H. K. J. Kuo, L. Mangu, A. Emami, I. Zitouni, and L. Young-Suk. 2009. Syntactic features for Arabic speech recognition. ... Saraclar. 2005. Discrimina- tive syntactic language modeling for speech recogni- tion. In ACL. Denis Filimonov and Mary Harper. 2009. A joint language model with fine-grain syntactic tags. In EMNLP. Yoav ... syn- tactic information in both generative and discrimi- native language models. For generative LMs, the syntactic information must be part of the generative process. Structured language modeling...

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... Syntax- based language models for statistical machine transla- tion. MT Summit IX., Intl. Assoc. for Machine Trans- lation. C. Chelba and F. Jelinek. 1998. Exploiting syntactic structure for language modeling. ... Pat- tern Recognition in Practice, 381-397. F. Jelinek and C. Chelba. 1999. Putting language into language modeling. Sixth European Confer- ence on Speech Communication and Technology (EU- ROSPEECH), ... Dis- tributed language modeling for N-best list re-ranking. The 2006 Conference on Empirical Methods in Natu- ral Language Processing (EMNLP), 216-223. Y. Zhang, 2008. Structured language models for statisti- cal...

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