| 摘要 |
The invention relates to a process and a system for voice recognition in a noisy signal. In a preferred embodiment, the system (2) comprises modules for detecting speech (30) and for formulating a noise model (31), a module (40) for quantifying the energy level of the noise and for comparing with preestablished energy spans, a parameterization pathway (5) comprising an optional denoising module (51), with Wiener filter, a module (52) for calculating the spectral energy in Bark windows, a module (50, 530) for applying a configuration of shift values (531), by adding these values to the Bark coefficients, as a function of the quantification (40), so as to modify the parameterization, a module (54) for calculating vectors of parameters, and a block (6) for recognizing shapes, performing the voice recognition by comparison with vectors of parameters prerecorded during a learning phase.
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