Method and device for voice recognition in environments with fluctuating noise levels
First Claim
1. A method of voice recognition in a noise-ridden acoustic signal comprising:
- a phase of digitizing and subdividing the noise-ridden acoustic signal into a sequence of temporal frames, a phase of parametrization of speech-containing temporal frames so as to obtain a vector of parameters, per frame, in the frequency domain, this vector of parameters expressing the acoustic contents of the frame, a shape-recognition phase in which the vectors of parameters are assessed with respect to references pre-recorded in a reference space during a preliminary learning phase, so as to obtain recognition by the determining of at least one reference which is closest to the vector of parameters, a phase of reiterative searching for successive noise models in the sequence of temporal frames, a new noise model replacing a current noise model, a noise model comprising several successive frames, wherein the method comprises;
a phase of searching for a noise transition between the new noise model and the current model, and wherein, when the noise transition has been detected, the method comprises a phase of updating the reference space as a function of the new noise model, the parametrization phase including a step of matching the parameters to the new noise model.
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Abstract
A method of voice recognition in a noise-ridden acoustic signal comprises a phase of digitizing temporal frames of the noise-ridden acoustic signal, a phase of parametrization of speech-containing temporal frames, a shape-recognition phase in which the parameters are assessed with respect to references pre-recorded in a reference space, a phase of reiterative searching for noise models in the noise-ridden signal frames, a phase of searching for a transition between the new noise model and the old model and, when the noise transition has been detected, a phase of updating the reference space, the parametrization phase including a step of matching the parameters to the new noise model.
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Citations
19 Claims
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1. A method of voice recognition in a noise-ridden acoustic signal comprising:
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a phase of digitizing and subdividing the noise-ridden acoustic signal into a sequence of temporal frames, a phase of parametrization of speech-containing temporal frames so as to obtain a vector of parameters, per frame, in the frequency domain, this vector of parameters expressing the acoustic contents of the frame, a shape-recognition phase in which the vectors of parameters are assessed with respect to references pre-recorded in a reference space during a preliminary learning phase, so as to obtain recognition by the determining of at least one reference which is closest to the vector of parameters, a phase of reiterative searching for successive noise models in the sequence of temporal frames, a new noise model replacing a current noise model, a noise model comprising several successive frames, wherein the method comprises;
a phase of searching for a noise transition between the new noise model and the current model, and wherein, when the noise transition has been detected, the method comprises a phase of updating the reference space as a function of the new noise model, the parametrization phase including a step of matching the parameters to the new noise model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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