Engineers working in the engine rooms of ships are unable to communicate using normal speech. The engine room becomes a noise environment of engine and generators. To extract a normal speech produced in such noisy environments, we investigated construction of the body-conducted speech recognition system. Body-conducted speech is classified into solid propagated sound on skin or bone; thus it is not influenced by noise in the air. Body-conducted speech produces a low quality signal, because it does not include high frequency components of 2 kHz and greater. For this reason, many researchers have proposed signal retrieval methods, but conventional methods require both normal speech and body-conducted speech. In this paper, we propose the signal retrieval technique that does not require normal speech. First, the method converts the emphasized signal into body-conducted speech as a differential acceleration signal. Second, conventional noise reduction is applied to the emphasized signal to produce the retrieval signal. Our previous research investigated body-conducted speech under calm. The experiment confirmed the effectiveness of the new body-conducted speech retrieval technique, extracting in 98 dB SPL (-20 dB SNR). We conclude that the signal improves in sound quality on frequencies of 2 kHz and greater.


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    Titel :

    Speech estimation using body-conducted speech microphone in noisy environment


    Weitere Titelangaben:

    Spracherkennung mit Hilfe eines körperleitenden Kondensatormikrophons in einer geräuschintensiven Umgebung


    Beteiligte:


    Erscheinungsdatum :

    2009


    Format / Umfang :

    5 Seiten, 4 Bilder, 1 Tabelle, 8 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch






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    Kacur, J. / Frank, J. / Rozinaj, G. | IEEE | 2003


    Speech Detection in the Noisy Environment using Wavelet Transform

    Kacur, J. / Frank, J. / Rozinaj, G. et al. | British Library Conference Proceedings | 2003