Subband method and apparatus for determining speech pauses...

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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Reexamination Certificate

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07146318

ABSTRACT:
A method for detecting pauses in speech signals is disclosed in which the frequency spectrum is divided into two or more sub-bands. Samples of the signals on the sub-bands are stored at intervals, the energy levels of the sub-bands are determined on the basis of the stored samples, a power threshold value (thr) is determined, and the energy levels of the sub-bands are compared with said power threshold value (thr) . A subband minimum is set and a detection time limit is set so that, in a noise situation, a speech pause can be verified by checking to determine if each pause detected remains for the duration of the detection time limit and if a pause is detected in at least said minimum subbands.

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Olli Viikki, D Bye, and Kari Laurila, “A Recursive Feature Vector Normalization Approach for Robust Speech Recognition in Noise,” Proc. 1998 IEEE Int. Conf. Acoust., Speech, Sig. Proc., ICASSP '98, May 12-15, 1998, vol. 2, pp. 733-736.
Ramalingam Hariharan, Juha Häkkinen, and Kari Laurila, “Robust End-of-Utterance Detection for Real-Time Speech Recognition Applications,” Proc. IEEE Int. Conf. Acoust., Speech, Sig. Proc., 2001, May 7-11, 2001, vol. 1, pp. 249-252.

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