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Method and device for voice recognition in environments with fluctuating noise levels

  • US 6,859,773 B2
  • Filed: 05/09/2001
  • Issued: 02/22/2005
  • Est. Priority Date: 05/09/2000
  • Status: Active Grant
First Claim
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1. A method of voice recognition in a noise-ridden acoustic signal comprising:

  • a step of digitizing and subdividing the noise-ridden acoustic signal into a sequence of temporal frames;

    a step of parameterizing speech-containing temporal frames so as to obtain a vector of parameters, per speech containing frame, in the frequency domain, the vector of parameters expressing the acoustic contents of each speech containing frame;

    a shape-recognition step in which the vectors of parameters are assessed with respect to references pre-recorded in a reference space during a preliminary learning step, so as to obtain recognition by the determining of at least one reference which is closest to the vector of parameters;

    a step of reiterative searching for successive noise models in the sequence of temporal frames, a new noise model replacing a current noise model, each noise model comprising several successive frames;

    a step of searching for a noise transition between the new noise model and the current noise model; and

    wherein, when the noise transition has been detected, the method comprises a step of updating the reference space as a function of the new noise model, the parameterizing step including a step of matching the parameters to the new noise model.

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