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Volumn , Issue , 2000, Pages

A hybride approach for grapheme-to-phoneme conversion based on a combination of partial string matching and a neural network

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TRANSCRIPTION;

EID: 34547326497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (3)
  • 1
    • 85032404317 scopus 로고    scopus 로고
    • Machine learning of word pronunciation: The case against abstraction
    • B. Busser, W. Daelemans, A. van den Bosch: Machine Learning of Word Pronunciation: The Case Against Abstraction, EUROSPEECH 99, pp. 2123-2126
    • EUROSPEECH , vol.99 , pp. 2123-2126
    • Busser, B.1    Daelemans, W.2    Van Den Bosch, A.3
  • 2
    • 37949041240 scopus 로고    scopus 로고
    • Automation of the training procedures for neural networks performing multi-lingual grapheme to phoneme conversion
    • H.-U. Hain: Automation of the Training Procedures for Neural Networks Performing Multi-Lingual Grapheme to Phoneme Conversion. EUROSPEECH 1999, S. 2087-2090
    • (1999) EUROSPEECH , pp. 2087-2090
    • Hain, H.-U.1
  • 3
    • 85009065747 scopus 로고    scopus 로고
    • An automatically trainable multilingual system for grapheme-to-phoneme conversion for speech synthesis
    • Kyoto
    • H.-U. Hain: An automatically trainable multilingual system for grapheme-to-phoneme conversion for speech synthesis. Workshop on Multi-Lingual Speech Communication, Kyoto, 2000.
    • (2000) Workshop on Multi-lingual Speech Communication
    • Hain, H.-U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.