Monaural Sound Localization Based on Structure-Induced Acoustic Resonance
AbstractA physical structure such as a cylindrical pipe controls the propagated sound spectrum in a predictable way that can be used to localize the sound source. This paper designs a monaural sound localization system based on multiple pyramidal horns around a single microphone. The acoustic resonance within the horn provides a periodicity in the spectral domain known as the fundamental frequency which is inversely proportional to the radial horn length. Once the system accurately estimates the fundamental frequency, the horn length and corresponding angle can be derived by the relationship. The modified Cepstrum algorithm is employed to evaluate the fundamental frequency. In an anechoic chamber, localization experiments over azimuthal configuration show that up to 61% of the proper signal is recognized correctly with 30% misfire. With a speculated detection threshold, the system estimates direction 52% in positive-to-positive and 34% in negative-to-positive decision rate, on average. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kim, K.; Kim, Y. Monaural Sound Localization Based on Structure-Induced Acoustic Resonance. Sensors 2015, 15, 3872-3895.
Kim K, Kim Y. Monaural Sound Localization Based on Structure-Induced Acoustic Resonance. Sensors. 2015; 15(2):3872-3895.Chicago/Turabian Style
Kim, Keonwook; Kim, Youngwoong. 2015. "Monaural Sound Localization Based on Structure-Induced Acoustic Resonance." Sensors 15, no. 2: 3872-3895.