Microphone array postfiltering sound enhancement method based on multi-models and hearing characteristic

Abstract

The invention discloses a microphone array postfiltering sound enhancement method based on multi-models and hearing characteristic, aiming at two important factors influencing the postfiltering sound enhancement performance of a microphone array, i.e. accurate estimation for signal parameters and suitable compromise between increasing noise reduction performance and reducing voice distortion. Thescheme of the invention comprises the following steps of carrying out time domain alignment on signals collected by the microphone array, and carrying out short-time Fourier transform and characteristic value analysis based of power spectrum; determining the dimensionality of a signal subspace through the existence probability of target voice signal in maximation noise-carried voice signals; self-adaptively selecting a distribution model of a noise power spectrum in the noise-carried voice signals; estimating noise power spectrum by utilizing a conditional probability; estimating an auditory masking threshold value based on the signal subspace; and estimating a postfilter by combining Lagrange multipliers according to the auditory sensing characteristics.

Description

technical field

[0001] The invention relates to a signal subspace method of a microphone array, an auditory masking effect and the design of a post-filter. Background technique

[0002] Speech in real life is often affected by noise in the environment, and multi-channel speech enhancement methods have received extensive attention in recent years. The advantage of the microphone array speech enhancement method over the single-channel speech enhancement method is that it can use the correlation between multiple signals to more accurately estimate the characteristics of the signal, thereby achieving better speech enhancement effects. Among them, the microphone array post-filter speech enhancement method has been widely used in recent years because of its excellent noise reduction performance. Simmer et al. (Reference 1: K.Uwe Simmer, et al, "Post-filtering techniques", in Microphone Arrays, M. Brandstein and D. Ward, Eds. New York: Springer, ch.3, pp.36-60, 2001.) proved that...

Examples

Embodiment Construction

[0065] It should be understood that the following detailed description of the various examples and drawings is not intended to limit the invention to the particular illustrative embodiments; the described illustrative embodiments merely exemplify the various steps of the invention, the scope of which is defined by the appended claims to define.

[0066] The present invention uses the auditory masking effect of the human ear to propose a reasonable compromise solution, and designs a new post-filter based on auditory perception characteristics. The auditory masking effect of the human ear means that, under normal circumstances, the target speech signal signal is a strong signal, while the background noise is relatively weak, so the auditory system will determine the auditory masking threshold in the frequency domain according to the specific target speech signal signal, if If the filtered residual noise is limited below the auditory masking threshold of the human ear, then the n...

technical field

[0001] The invention relates to a signal subspace method of a microphone array, an auditory masking effect and the design of a post-filter. Background technique

[0002] Speech in real life is often affected by noise in the environment, and multi-channel speech enhancement methods have received extensive attention in recent years. The advantage of the microphone array speech enhancement method over the single-channel speech enhancement method is that it can use the correlation between multiple signals to more accurately estimate the characteristics of the signal, thereby achieving better speech enhancement effects. Among them, the microphone array post-filter speech enhancement method has been widely used in recent years because of its excellent noise reduction performance. Simmer et al. (Reference 1: K.Uwe Simmer, et al, "Post-filtering techniques", in Microphone Arrays, M. Brandstein and D. Ward, Eds. New York: Springer, ch.3, pp.36-60, 2001.) proved that...

Examples

Embodiment Construction

[0065] It should be understood that the following detailed description of the various examples and drawings is not intended to limit the invention to the particular illustrative embodiments; the described illustrative embodiments merely exemplify the various steps of the invention, the scope of which is defined by the appended claims to define.

[0066] The present invention uses the auditory masking effect of the human ear to propose a reasonable compromise solution, and designs a new post-filter based on auditory perception characteristics. The auditory masking effect of the human ear means that, under normal circumstances, the target speech signal signal is a strong signal, while the background noise is relatively weak, so the auditory system will determine the auditory masking threshold in the frequency domain according to the specific target speech signal signal, if If the filtered residual noise is limited below the auditory masking threshold of the human ear, then the n...

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