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    • 2. 发明专利
    • DE69518452T2
    • 2001-04-12
    • DE69518452
    • 1995-03-14
    • NIPPON TELEGRAPH & TELEPHONE
    • IWAKAMI NAOKIMORIYA TAKEHIROMIKI SATOSHI
    • G01R23/16G10L19/02G10L25/12G10L25/27G10L101/027G10L101/06G10L101/12
    • An input acoustic signal is subjected to modified discrete cosine transform processing to obtain its spectrum characteristics. On the other hand, linear prediction coefficients are derived from the input acoustic signal in a linear prediction coding analysis part (17), and the prediction coefficients are subjected to Fourier transform in a spectrum envelope calculation part (21) to obtain the envelope of the spectrum characteristics of the input acoustic signal. In a normalization part (22) the spectrum characteristics are normalized by the envelope thereof to obtain residual coefficients. A normalization part (26) normalizes the residual coefficients by a residual-coefficients envelope predicted in a residual-coefficients envelope calculation part (23), thereby obtaining fine structure coefficients, which are vector-quantized in a quantization part (25). A de-normalization part (31) de-normalizes the quantized fine structure coefficients. The residual-coefficients envelope calculation part (23) uses the reproduced residual coefficients to predict the envelope of residual coefficients of the subsequent frame.
    • 3. 发明专利
    • DE69518452D1
    • 2000-09-28
    • DE69518452
    • 1995-03-14
    • NIPPON TELEGRAPH & TELEPHONE
    • IWAKAMI NAOKIMORIYA TAKEHIROMIKI SATOSHI
    • G01R23/16G10L19/02G10L25/12G10L25/27G10L101/027G10L101/06G10L101/12
    • An input acoustic signal is subjected to modified discrete cosine transform processing to obtain its spectrum characteristics. On the other hand, linear prediction coefficients are derived from the input acoustic signal in a linear prediction coding analysis part (17), and the prediction coefficients are subjected to Fourier transform in a spectrum envelope calculation part (21) to obtain the envelope of the spectrum characteristics of the input acoustic signal. In a normalization part (22) the spectrum characteristics are normalized by the envelope thereof to obtain residual coefficients. A normalization part (26) normalizes the residual coefficients by a residual-coefficients envelope predicted in a residual-coefficients envelope calculation part (23), thereby obtaining fine structure coefficients, which are vector-quantized in a quantization part (25). A de-normalization part (31) de-normalizes the quantized fine structure coefficients. The residual-coefficients envelope calculation part (23) uses the reproduced residual coefficients to predict the envelope of residual coefficients of the subsequent frame.
    • 4. 发明专利
    • DE69328450T2
    • 2001-01-18
    • DE69328450
    • 1993-06-28
    • NIPPON TELEGRAPH & TELEPHONE
    • MORIYA TAKEHIROKATAOKA AKITOSHIMANO KAZUNORIMIKI SATOSHIOMURO HITOSHIHAYASHI SHINJI
    • G10L19/005G10L19/06G10L19/07G10L19/08G10L19/083G10L19/12G10L19/135G10L19/14
    • In a speech coding method of the present invention, initially, a plurality of samples of speech data are analyzed by a linear prediction analysis and thereby prediction coefficients are calculated. Then, the prediction coefficients are quantized, and the quantized prediction coefficients are set in a synthesis filter. Moreover, a pitch period vector is selected from an adaptive codebook in which a plurality of pitch period vector are stored, and the selected pitch period vector is multiplied by a first gain which is obtained, at the same time, with a second gain. In addition, a noise waveform vector is selected from a random codebook in which a plurality of the noise waveform vectors are stored, and is multiplied by a predicted gain and the second gain. Then, the speech vector is synthesized by exciting the synthesis filter with the pitch period vector multiplied by the first gain, and with the noise waveform vector multiplied by the predicted gain and the second gain. Consequently, speech data comprising a plurality of samples are coded as a unit of a frame operation. Furthermore, the predicted gain multiplied by the noise waveform vector which is selected in a subsequent frame operation, is predicted based on the current noise waveform vector which is multiplied by the predicted gain and the second gain at the current frame operation, and also the previous waveform vector which is multiplied by the predicted gain and the second gain in the previous frame operation.
    • 7. 发明专利
    • DE69328450D1
    • 2000-05-25
    • DE69328450
    • 1993-06-28
    • NIPPON TELEGRAPH & TELEPHONE
    • MORIYA TAKEHIROKATAOKA AKITOSHIMANO KAZUNORIMIKI SATOSHIOMURO HITOSHIHAYASHI SHINJI
    • G10L19/005G10L19/06G10L19/07G10L19/08G10L19/083G10L19/12G10L19/135G10L19/14
    • In a speech coding method of the present invention, initially, a plurality of samples of speech data are analyzed by a linear prediction analysis and thereby prediction coefficients are calculated. Then, the prediction coefficients are quantized, and the quantized prediction coefficients are set in a synthesis filter. Moreover, a pitch period vector is selected from an adaptive codebook in which a plurality of pitch period vector are stored, and the selected pitch period vector is multiplied by a first gain which is obtained, at the same time, with a second gain. In addition, a noise waveform vector is selected from a random codebook in which a plurality of the noise waveform vectors are stored, and is multiplied by a predicted gain and the second gain. Then, the speech vector is synthesized by exciting the synthesis filter with the pitch period vector multiplied by the first gain, and with the noise waveform vector multiplied by the predicted gain and the second gain. Consequently, speech data comprising a plurality of samples are coded as a unit of a frame operation. Furthermore, the predicted gain multiplied by the noise waveform vector which is selected in a subsequent frame operation, is predicted based on the current noise waveform vector which is multiplied by the predicted gain and the second gain at the current frame operation, and also the previous waveform vector which is multiplied by the predicted gain and the second gain in the previous frame operation.