81.
    发明专利
    未知

    公开(公告)号:BRPI0408708A

    公开(公告)日:2006-03-07

    申请号:BRPI0408708

    申请日:2004-03-23

    Applicant: QUALCOMM INC

    Abstract: According to one aspect of the present invention, a method and apparatus is provided in which input data (e.g., input video data) is encoded in accordance with a first coding standard (e.g., MPEG-4) to generate encoded data. The input data is also encoded based on a reconstruction of the input data to generate encoded side information associated with the input data. The encoded data are transmitted to a destination (e.g., a decoding subsystem) over a first channel and the encoded side information are transmitted to the destination over a second channel. The encoded data and the encoded side information are decoded and combined at the destination to generate output data.

    84.
    发明专利
    未知

    公开(公告)号:BR0115006A

    公开(公告)日:2004-02-17

    申请号:BR0115006

    申请日:2001-10-25

    Applicant: QUALCOMM INC

    Abstract: A method and system that improves voice recognition by improving the voice recognizer of a voice recognition system. Mu-law compression of bark amplitudes is used to reduce the effect of additive noise and thus improve the accuracy of the voice recognition system. A-law compression of bark amplitudes is used to improve the accuracy of the voice recognizer. Both mu-law compression and mu-law expansion can be used in the voice recognizer to improve the accuracy of the voice recognizer. Both A-law compression and A-law expansion can be used in the voice recognizer to improve the accuracy of the voice recognizer.

    SYSTEM AND METHOD FOR IMPROVING VOICE RECOGNITION IN NOISY ENVIRONMENTS AND FREQUENCY MISMATCH CONDITIONS

    公开(公告)号:CA2427339A1

    公开(公告)日:2002-10-17

    申请号:CA2427339

    申请日:2001-10-25

    Applicant: QUALCOMM INC

    Abstract: A method and system that improves voice recognition by improving the voice recognizer of a voice recognition system 10. Mu-law compression 20 of bark amplitudes is used to reduce the effect of additive noise and thus improve t he accuracy of the voice recognition system. A-law compression 21 of bark amplitudes is used to improve the accuracy of the voice recognizer. Both mu- law compression 20 and mu-law expansion 22 can be used in the voice recogniz er to improve the accuracy of the voice recognizer. Both A-law compression 21 a nd A-law expansion can be used in the voice recognizer to improve the accuracy of the voice recognizer.

    System and method for efficient storage of voice recognition models

    公开(公告)号:AU2002246992A1

    公开(公告)日:2002-08-06

    申请号:AU2002246992

    申请日:2002-01-10

    Applicant: QUALCOMM INC

    Abstract: A method improves voice recognition by improving storage of voice recognition (VR) templates. The improved storage means that more VR models can be stored in memory. The more VR models that are stored in memory, the more robust the VR system, and therefore the more accurate the VR system. Lossy compression techniques are used to compress VR models. In one embodiment, Mu-law compression and A-law expansion are used to compress and expand VR models. In another embodiment, Mu-law compression and Mu-law expansion are used to compress and expand VR models. VR models are compressed during a training process, and they are expanded during voice recognition.

    SYSTEM AND METHOD FOR EFFICIENT STORAGE OF VOICE RECOGNITION MODELS

    公开(公告)号:CA2434562A1

    公开(公告)日:2002-08-01

    申请号:CA2434562

    申请日:2002-01-10

    Applicant: QUALCOMM INC

    Abstract: A method and system that improves voice recognition by improving storage of voice recognition (VR) templates. The improved storage means that more VR models can be stored in memory. The more VR models that are stored in memory , the more robust the VR system and therefore the more accurate the VR system. Lossy compression techniques are used to compress VR models. In one embodiment, A-law compression and A-law expansion are used to compress and expand VR models. In another embodiment, Mu-law compression and Mu-law expansion are used to compress and expand VR models. VR models are compresse d during a training process and they are expanded during voice recognition.

    METHOD AND APPARATUS FOR ALLOCATION OF INFORMATION TO CHANNELS OF A COMMUNICATION SYSTEM

    公开(公告)号:CA2566124C

    公开(公告)日:2014-09-30

    申请号:CA2566124

    申请日:2005-05-13

    Applicant: QUALCOMM INC

    Abstract: Methods and apparatus are described for improving the transmission of information over wireless communication channels. These techniques include determining available communication channels for transmitting information and determining possible physical layer packet sizes of the available channels. An information unit is partitioned into portions wherein the size of the portions are selected so as to match one of the physical layer packet sizes of the available communication channels. Another aspect is partitioning the information into a number of slices that correspond to the number of transmissions that occur during the information unit interval and assigning each partition to a corresponding transmission. The techniques can be used for various types of information, such as multimedia data, variable bit rate data streams, video data, or audio data. The techniques can also be used with various over the air interfaces, such as, Global System for Mobile Communication (GSM), General Packet Radio Service (GPRS), Enhanced Data GSM Environment (EDGE), or standards based on CDMA such as TIA/EIA-95-B (IS-95), TIA/EIA-98-C (IS-98), IS2000, HRPD, cdma2000, Wideband CDMA (WCDMA), and others.

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