Document Type

Conference Proceeding

Language

eng

Format of Original

5 p.

Publication Date

2012

Publisher

Institute of Electrical and Electronics Engineers

Source Publication

Proceedings of the Third International Conference on Audio, Language, and Image Processing

Source ISSN

978-1-4673-0173-2

Original Item ID

doi: 10.1109/ICALIP.2012.6376789

Abstract

Multichannel fusion strategies are presented for the distributed microphone recognition environment, for the task of song-type recognition in a multichannel songbird dataset. The signals are first fused together based on various heuristics, including their amplitudes, variances, physical distance, or squared distance, before passing the enhanced single-channel signal into the speech recognition system. The intensity-weighted fusion strategy achieved the highest overall recognition accuracy of 94.4%. By combining the noisy distributed microphone signals in an intelligent way that is proportional to the information contained in the signals, speech recognition systems can achieve higher recognition accuracies.

Comments

Accepted version. Published as part of the proceedings of the conference, Multichannel Speech Recognition using Distributed Microphone Signal Fusion Strategies, 2012: 1146-1150. DOI: 10.1109/ICALIP.2012.6376789. © IEEE 2012. Used with permission.

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