Real-time processing is a requirement for many practical signal processing applications. In this work we implemented online 2-source acoustic event detection and localization algorithms in a Smart-room, a closed space equipped with multiple microphones. Acoustic event detection is based on HMMs that enable to process the input audio signal with very low latency; acoustic source localization is based on the SRP-PHAT localization method which is known to per-form robustly in most scenarios. The experimental results from online tests show high recognition accuracy for most of acoustic events both isolated and overlapped with speech.
CitationButko, T. [et al.]. Two-source acoustic event detection and localization: online implementation in a smart-room. A: European Signal Processing Conference. "17th European Signal Processing Conference (EUSIPCO’11)". Barcelona: 2011, p. 1317-1321.
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