VOICE CODING METHOD TO BE USED IN DIGITAL VOICE ENCODER

    公开(公告)号:JP2000155597A

    公开(公告)日:2000-06-06

    申请号:JP35934599

    申请日:1999-12-17

    Applicant: MOTOROLA INC

    Abstract: PROBLEM TO BE SOLVED: To provide a digital voice coding method improving controlls of filters of a voice encoder without increasing the complexity of the voice encoder accordingly. SOLUTION: A single filter providing controls of plural filters without complexity of the plural filters is realized by using an R-order filter for modeling frequency responses of the plural filters. The R-order filter can be used as a spectral noise weight filter (132) or the combination of the short term predictive encoder filter called as a synthesis filter in which noise are spectrally weighted and the spectral noise weighting filter in accordance with which embodiments are to be used. Generally, this method performs the moldeling of frequency responses of L pieces of P-order filters with the single R-order filter and, in this case, the order of R is made to be

    METHOD, APPARATUS, AND RADIO FOR OPTIMIZING HIDDEN MARKOV MODEL SPEECH RECOGNITION
    2.
    发明公开
    METHOD, APPARATUS, AND RADIO FOR OPTIMIZING HIDDEN MARKOV MODEL SPEECH RECOGNITION 失效
    方法,装置和无线为了获得最佳的语音识别借助HIDDEN MARKOFFMODELLE的

    公开(公告)号:EP0764319A4

    公开(公告)日:1998-12-30

    申请号:EP96910297

    申请日:1996-01-29

    Applicant: MOTOROLA INC

    CPC classification number: G10L15/142

    Abstract: In a statistical based speech recognition system, one of the key issues is the selection of the Hidden Markov Model that best matches a given sequence of feature observations. The problem is usually addressed by the calculation of the maximum likelihood, ML, state sequence by means of a Viterbi or other decoder. Noise or inadequate training can produce an ML sequence associated with a Hidden Markov Model other than the correct model. The method of the present invention provides improved robustness by combining the standard ML state sequence score (416) with an additional path core (418) derived from the dynamics of the ML score as a function of time. These two scores, when combined, form a hybrid metric (420) that, when used with the decoder, optimizes selection of the correct Hidden Markov Model (422).

    Vector sum excited linear predictive coding speech coder

    公开(公告)号:DE4447647C2

    公开(公告)日:2000-05-11

    申请号:DE4447647

    申请日:1994-03-07

    Applicant: MOTOROLA INC

    Abstract: The method comprises the steps of segmenting the optimal reflection coefficient vector into two segments, and providing an array of predetermined vectors of coefficients, with each vector having multiple elements. A first vector is selected from the array. The residual error is calculated corresp. to the first selected vector. The above steps are repeated for each vector in the array. A vector is chosen from the first array with the lowest residual error, which defines the initial conditions for the second segment. A second array of predetermined vectors of reflection coefficients are provided, each vector having multiple elements. The above steps are repeated for the second segment, using the second array of vectors so forming a second chosen vector.

    METHOD FOR GENERATING A SPECTRAL NOISE WEIGHTING FILTER FOR USE IN A SPEECH CODER

    公开(公告)号:CA2132006C

    公开(公告)日:1998-04-28

    申请号:CA2132006

    申请日:1994-01-18

    Applicant: MOTOROLA INC

    Abstract: Analysis by synthesis calculates a difference by subtracting (130) synthesized s peech from input speech. The synthesized speech is formed by exciting long and short term filters (124,126) with excitation vectors from a codebook store (114) which is searched by codebook generation (120). A weighting filter (132) is applied to the difference signal a nd the weighted difference is used to calculate an energy measure (134) which is used to control the codebook search (140). The weighting filter is an Rth-order filter controlled with calculated coefficients. The method for calculating coefficients models the frequency respo nse of L Pth-order filters by a single Rth-order filter, where the order R ~ LxP. This method increases the control of a speech coder filter wi thout an increase in hardware complexity.

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