Speaker Recognition on Lossy Compressed Speech Using the Speex Codec

摘要

This paper examines the impact of lossy speech coding with Speex on GMM-UBM speaker recognition (SR). Audio from 120 speakers was compressed with Speex into twelve data sets, each with a different level of compression quality from 0 (most compressed) to 10 (least), plus uncompressed. Experiments looked at performance under matched and mismatched compression conditions, using models conditioned for the coded environment, and Speex coding applied to improving SR performance on other coders. Results show that Speex is effective for compression of data used in SR and that Speex coding can improve performance on data compressed by the GSM codec.