Title :
Microphone Sensitivity Matching Based on Optimal Smoothing and Minimum Statistics
Author :
Dai Haotian ; Hong Jun
Author_Institution :
R&D Centre, LG Electron., Beijing, China
Abstract :
In this report, an experiment on noise detection in Motorola Lab was shown. And then it was estimated the noise power ratio under various noise types based on MSOS algorithm and VAD algorithm respectively. The result showed that the MSOS algorithm is found to be a better approach in terms of estimating the noise power ratio between two microphone channels than the VAD algorithm.
Keywords :
acoustic signal detection; microphones; smoothing methods; statistical analysis; MSOS algorithm; Motorola Lab; VAD algorithm; microphone sensitivity matching; minimum statistics; noise detection; noise power ratio; optimal smoothing method; Estimation; Frequency domain analysis; Microphones; Noise; Noise measurement; Sensitivity; Speech;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631319
