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Volumn , Issue , 2012, Pages 270-274

Recurrent neural network language model in Mandarin voice input system

Author keywords

Mandarin voice input system; n best list rescore; RNNLM

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; INPUT SYSTEMS; LANGUAGE MODEL; N-BEST LIST; QUERY SYSTEMS; RELATIVE REDUCTION; RNNLM; SEARCH TASKS; TRI GRAMS; VOICE INTERFACES; WORD ERROR RATE;

EID: 84866150873     PISSN: 21579555     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2012.6234689     Document Type: Conference Paper
Times cited : (3)

References (11)
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    • Schwenk, H.1
  • 2
    • 0030181951 scopus 로고    scopus 로고
    • A maximum entropy approach to adaptive statistical language modelling
    • R. Rosenfeld, "A maximum entropy approach to adaptive statistical language modelling," Computer speech and language, vol. 10, no. 3, p. 187, 1996.
    • (1996) Computer Speech and Language , vol.10 , Issue.3 , pp. 187
    • Rosenfeld, R.1
  • 6
    • 0033329799 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • S. Chen and J. Goodman, "An empirical study of smoothing techniques for language modeling," Computer Speech & Language, vol. 13, no. 4, pp. 359-393, 1999.
    • (1999) Computer Speech & Language , vol.13 , Issue.4 , pp. 359-393
    • Chen, S.1    Goodman, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.