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基于TDOA的双微型麦克风阵列位置校准算法

吴朝晖 蔡振宇 朱嘉俊 温治晓

华中科技大学学报(自然科学版)2024,Vol.52Issue(3):41-46,6.
华中科技大学学报(自然科学版)2024,Vol.52Issue(3):41-46,6.DOI:10.13245/j.hust.239526

基于TDOA的双微型麦克风阵列位置校准算法

Dual-mini microphone array position calibration algorithm based on TDOA

吴朝晖 1蔡振宇 1朱嘉俊 2温治晓2

作者信息

  • 1. 华南理工大学微电子学院,广东 广州 510640
  • 2. 珠海市杰理科技股份有限公司,广东 珠海 519060
  • 折叠

摘要

Abstract

The dual-mini microphone array is widely used in embedded devices such as wireless earphones and hearing aids,and the problem that the position of the sub-array is not fixed affects the performance of subsequent speech signal processing.An improved array position calibration algorithm was proposed based on the time difference of arrival(TDOA)method.Local cubic spline interpolation is added to the generalized cross-correlation algorithm to improve the TDOA accuracy at low sampling rates.According to the structural characteristics of the dual-mini microphone array,an improved geometric solution method is adopted,which uses the known distance parameters inside the sub-array and avoids the time-delay estimated value with large error,thereby improving the accuracy of the array position calibration.The experimental results show that under the conditions of 10 dB signal-to-noise ratio and 48 kHz sampling rate,the improved algorithm proposed in this paper can reduce the delay estimation error by 85%and the position calibration error by 51%with the same amount of calculation.

关键词

双微型麦克风阵列/到达时间差(TDOA)/阵列校准/广义互相关/采样率/三次样条插值

Key words

dual-mini microphone array/time difference of arrival(TDOA)/array calibration/generalized cross-correlation/sampling rate/cubic spline interpolation

分类

信息技术与安全科学

引用本文复制引用

吴朝晖,蔡振宇,朱嘉俊,温治晓..基于TDOA的双微型麦克风阵列位置校准算法[J].华中科技大学学报(自然科学版),2024,52(3):41-46,6.

基金项目

珠海市产学研合作基金资助项目(ZH22017001200154PWC) (ZH22017001200154PWC)

广东省重点领域研发计划资助项目(2020B0404030005). (2020B0404030005)

华中科技大学学报(自然科学版)

OA北大核心CSTPCD

1671-4512

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