MAP-based Audio Coding Compensation for Speaker Recognition

Jiang, Tao; Han, Jiuqiang

doi:10.4236/jsip.2011.23021

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“…We noticed that by this means the extracted speaker voice features may be less sensitive to the transmission standard, e.g., to the common MPEG 1 Layer 3 (MP3) algorithm [7,21].…”

Section: Introductionmentioning

confidence: 99%

Real Time Recognition Of Speakers From Internet Audio Stream

Weychan

Marciniak

Stankiewicz

et al. 2015

Foundations of Computing and Decision Sciences

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Abstract. In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality. The model of each speaker was calculated with the use of the Gaussian mixture model (GMM) approach. Both the speaker recognition and the further analysis were realized with the use of short utterances to facilitate real time processing. The neighborhoods of the speaker models were analyzed with the use of the ISOMAP algorithm. The experiments were based on four 1-hour public debates with 7-8 speakers (including the moderator), acquired from the Polish radio Internet services. The presented software was developed with the MATLAB environment.

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“…We noticed that by this means the extracted speaker voice features may be less sensitive to the transmission standard, e.g., to the common MPEG 1 Layer 3 (MP3) algorithm [7,21].…”

Section: Introductionmentioning

confidence: 99%