Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2014 - zeszyt 4

Time-delay of arrival estimation from voice signal

10.15199/ELE-2014-002

nr katalogowy: 83712
10.15199/ELE-2014-002

This article concerns the issue of the sound source localization in order to automate video surveillance or improve the quality of voice recording. The sounds in general, are a rich medium of convenient communication. The sounds in organized human activities allow for spatial orientation. The case of the voice message is associated with a variety of techniques that involve the recording and transmission of voice, in order to transmit it to the recipient. In this way the voice message can be listened to in a distant location or can be played back at a later time. It is particularly important that the intelligibility of the message conveyed by voice should be high. Speech intelligibility can be limited by properties of equipment, recording or playback conditions. Current technological development provides a variety of solutions to acquire, compress and transmit the speech signals with almost no noticeable reduction in quality, which is confirmed by a subjective assessment. The speech intelligibility very often is reduced by disturbing sounds including traffic noise and other speaking persons. In literature it is called the “cocktail party" problem. It is difficult to cancel the disturbing sounds by filtering in frequency domain because the spectrum of the disturbing sounds overlaps with the spectrum of voice. Using statistical independence the signals can be separated by blind source separation (BSS) methods. Comprehensive review of BSS methods can be found in the book [1]. The authors of this article have already studied the properties of blind separation [2] and its usefulness in applications for hearing aids [3] or for automatic speech recognition in human-machine interfaces [4] [5] [6]. The effective algorithms for independent component analysis (IC A) were considered in [7]. The directional filtering also was investigated for application of speech intelligibility improvement [8]. It was noticed, that the performance o[...]

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2014-4

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