METHOD AND APPARATUS FOR CHARACTERIZING INHALATION NOISE AND CALCULATING PARAMETERS BASED ON THE CHARACTERIZATION
    11.
    发明申请
    METHOD AND APPARATUS FOR CHARACTERIZING INHALATION NOISE AND CALCULATING PARAMETERS BASED ON THE CHARACTERIZATION 审中-公开
    基于特征描述吸入噪声和计算参数的方法和装置

    公开(公告)号:WO2006007342A3

    公开(公告)日:2006-03-02

    申请号:PCT/US2005020299

    申请日:2005-06-09

    CPC classification number: G10L17/26 A62B18/08 B63C11/26 G10L15/20 G10L21/0208

    Abstract: A method for characterizing inhalation noise within a pressurized air delivery system, the method including the steps of: generating an inhalation noise model (912, 1012) based on inhalation noise; receiving an input signal (802) that includes inhalation noise comprising at least one inhalation noise burst; comparing (810) the input signal to the noise model to obtain a similarity measure; comparing the similarity measure to at least one threshold (832, 834) to detect the at least one inhalation noise burst; and characterizing (1354, 1356) the at least one detected inhalation noise burst.

    Abstract translation: 一种用于表征加压空气输送系统内的吸入噪声的方法,所述方法包括以下步骤:基于吸入噪声产生吸入噪声模型(912,1012); 接收包括至少一个吸入噪声突发的吸入噪声的输入信号(802); 将输入信号与噪声模型进行比较(810)以获得相似性度量; 将所述相似性度量与至少一个阈值(832,834)进行比较以检测所述至少一个吸入噪声突发; 以及表征(1354,1356)所述至少一个检测到的吸入噪声突发。

    METODO Y APARATO PARA CARACTERIZAR RUIDO DE INHALACION Y CALCULAR PARAMETROS BASADOS EN LA CARACTERIZACION.

    公开(公告)号:MXPA06015231A

    公开(公告)日:2007-03-26

    申请号:MXPA06015231

    申请日:2005-06-09

    Applicant: MOTOROLA INC

    Abstract: Un metodo para caracterizar ruido de inhalacion dentro de un sistema de distribucion de aire presurizado, el metodo incluye las etapas de: generar un modelo (912, 1012) de ruido de inhalacion basado en el ruido de inhalacion; recibir una senal de (802) de entrada que incluye ruido de inhalacion que comprende por lo menos una rafaga del ruido de inhalacion; comparar (810) la senal de entrada con el modelo de ruido para obtener una medida de similitud; comparar la medida de similitud con por lo menos un umbral (832, 834) para detectar por lo menos una rafaga de ruido de inhalacion; y caracterizar (1354, 1356) por lo menos una rafaga de ruido de inhalacion detectada.

    Method and apparatus for detecting and attenuating inhalation noise in a communication system

    公开(公告)号:AU2005262624A1

    公开(公告)日:2006-01-19

    申请号:AU2005262624

    申请日:2005-06-06

    Applicant: MOTOROLA INC

    Abstract: A method for detecting and attenuating inhalation noise in a communication system coupled to a pressurized air delivery system, the method including the steps of: generating an inhalation noise model ( 912, 1012 ) based on inhalation noise; receiving an input signal ( 802 ) that includes inhalation noise; comparing ( 810 ) the input signal to the noise model to obtain a similarity measure; determining ( 854 ) a gain factor based on the similarity measure; and modifying ( 852 ) the input signal based on the gain factor, wherein the inhalation noise in the input signal is attenuated based on the gain factor.

    Method of evaluating an utterance in a speech recognition system

    公开(公告)号:GB2333877B

    公开(公告)日:2001-08-08

    申请号:GB9900679

    申请日:1999-01-14

    Applicant: MOTOROLA INC

    Abstract: The present invention provides a method of calculating, within the framework of a speaker dependent system, a standard filler, or garbage model, for the detection of out-of-vocabulary utterances. In particular, the method receives new training data in a speech recognition system (202); calculates statistical parameters for the new training data (204); calculates global statistical parameters based upon the statistical parameters for the new training data (206); and updates a garbage model based upon the global statistical parameters (208). This is carried out on-line while the user is enrolling the vocabulary. The garbage model described in this disclosure is preferably an average speaker model, representative of all the speech data enrolled by the user to date. Also, the garbage model is preferably obtained as a by-product of the vocabulary enrollment procedure and is similar in it characteristics and topology to all the other regular vocabulary HMMs.

    Communication device and method for endpointing speech utterances

    公开(公告)号:GB2346999B

    公开(公告)日:2001-04-04

    申请号:GB0008337

    申请日:2000-01-14

    Applicant: MOTOROLA INC

    Abstract: A communication device capable of endpointing speech utterances includes a microprocessor (110) connected to communication interface circuitry (115), memory (120), audio circuitry (130), an optional keypad (140), a display (150), and a vibrator/buzzer (160). Audio circuitry (130) is connected to microphone (133) and speaker (135). Microprocessor (110) includes a speech/noise classifier and speech recognition technology. Microprocessor (110) analyzes a speech signal to determine speech waveform parameters within a speech acquisition window. Microprocessor (110) compares the speech waveform parameters to determine the start and end points of the speech utterance. Microprocessor (110) starts at a frame index based on the energy centroid of the speech utterance and analyzes the frames preceding and following the frame index to determine the endpoints. When a potential endpoint is identified, microprocessor (110) compares the cumulative energy to the total energy of the speech acquisition window to determine whether additional speech frames are present. Accordingly, gaps and pauses in the utterance will not result in an erroneous endpoint determination.

    Communication device for endpointing speech utterances

    公开(公告)号:GB2346999A

    公开(公告)日:2000-08-23

    申请号:GB0008337

    申请日:2000-01-14

    Applicant: MOTOROLA INC

    Abstract: A communication device capable of endpointing speech utterances includes a speech/noise classifier and speech recognition technology. A speech signal is analysed to determine speech waveform parameters within a speech acquisition window 215. The speech waveform parameters are compared to determine the start and end points of the speech utterance. Processing starts at a frame index based on the energy centroid of the speech utterance and analyzes the frames preceding and following the frame index to determine the endpoints. When a potential endpoint is identified, the cumulative energy is compared to the total energy of the speech acquisition window to determine whether additional speech frames are present 255,280. Accordingly, gaps and pauses in the utterance will not result in an erroneous endpoint determination.

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