Adaptive beam forming method for reducing voice distortion

Abstract

The invention discloses an adaptive beam forming method for reducing voice distortion, and the method is characterized in that the method comprises the following steps: recording environment sound, and forming an input signal; carrying out the beam forming through a fixed beam forming device, and obtaining a noise-containing voice signal from the input signal; carrying out the filtering of the input signal through a blocking matrix module, so as to form a coherent noise signal; removing the coherent noise signal from the noise-containing voice signal through an adaptive removing module, and forming and outputting an output signal; obtaining a residual noise signal from the output signal, and feeding back the obtained residual noise signal to the adaptive removing module, so as to update the filtering coefficient of the adaptive removing module, thereby achieving the adaptive filtering for reducing the noise signal in the output signal. The method can guarantee the smaller distortion of a target signal while reducing the noise.

Description

technical field [0001] The invention relates to the field of human-machine speech recognition, especially to an adaptive beamforming method for reducing speech distortion Background technique [0002] Speech enhancement technologies based on microphone arrays have been widely used in communications, human-computer interaction, and speech recognition systems, among which the Generalized Sidelobe Cancellation (GSC, Generailized Sidelobe Canceller) method is the most widely used, and this method is easy to implement and has good performance. Among them, the GSC is divided into upper and lower channels, the upper channel is the reference signal used by the fixed beam module (FBF, FixedBeamformer) to estimate the target voice, and the lower channel is the blocking matrix module (BM, AdaptiveBlocking Matrix) and the adaptive elimination module (MC, Multiple input Canceller), used to eliminate the residual noise in the fixed beam, wherein the blocking matrix module is used to elimi...

AI Technical Summary

Problems solved by technology

However, the process of eliminating noise will inevitably cause distortion to the target speech. Therefore, distortion and noise reduction are a pair of irreconcilable contradictions. The distortion can only be reduced under the condition of stable noise reduction by technical means.

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