Improved double-talk detection device and detection method based on double statistics

Abstract

The invention discloses an improved double-talk detection device and detection method based on double statistics, and belongs to the technical field of audio processing. The detection device comprisesa microphone, a double-talk detection module, an adaptive filtering module, an echo estimation loop module and a signal processing module; a signal input end of the double-talk detection module is respectively connected with a signal output end of the microphone and a remote voice signal output end; a signal output end of the double-talk detection module is respectively connected with a signal input end of the adaptive filtering module and an output end of the signal processing module; the double-talk detection module is connected with the echo estimation loop module; and an input end of theecho estimation loop module is connected with the remote voice signal output end. The detection method provided by the invention can significantly improve the detection sensitivity of a DTD (Double-Talk Detector) algorithm, and has the characteristics of being low in computational complexity and good in system robustness.

Description

technical field [0001] The present invention relates to a communication audio detection device, more specifically, to an improved double-terminal detection device based on double statistics; the present invention also relates to a detection method of the detection device. Background technique [0002] In most occasions of actual communication, when the far-end voice signal is transmitted to the near-end, the far-end voice signal is directly or reflected together with the effective voice signal of the near-end caller to be collected by the near-end microphone and then transmitted to the far end. If the reflected voice signal delay exceeds 50ms or its loss is lower than 45dB, the caller at the far end will hear his own voice, resulting in an acoustic echo phenomenon. Therefore, in order to ensure better communication quality during a call, an adaptive echo canceller (Acoustic Echo Canceller, hereinafter referred to as "AEC") must be used in the voice communication system. [...

AI Technical Summary

Problems solved by technology

The calculation amount of the energy comparison method is relatively small, but it is difficult to choose a reasonable threshold T, which is generally only suitable for a relatively fixed channel environment; the performance of the double filter method and the correlation comparison method have been optimized to a certain extent, but the calculation amount is also corresponding improved

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