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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sekiguchi, K. Bando, Y. Itoyama, K. Yoshii, K. |
| Copyright Year | 2015 |
| Description | Author affiliation: Grad. Sch. of Inf., Kyoto Univ., Sakyo, Japan (Sekiguchi, K.; Bando, Y.; Itoyama, K.; Yoshii, K.) |
| Abstract | This paper presents a novel active audition method that enables multiple mobile robots to move to optimal positions for improving the performance of sound source separation. A main advantage of our distributed system is that each robot has its own microphone array and all mobile robots can collaborate on source separation by regarding a set of movable microphone arrays as a big reconfigurable array. To incrementally optimize the positions of the robots (the layout of the big microphone array) in an active-audition manner, it is necessary to predict the source separation performance from a possible layout of the next time step although true source signals are unknown. To solve this problem, our method simulates delay-and-sum beamforming from a possible layout for theoretically calculating the gain for each frequency component of a source signal in the corresponding separated signal. The robots are moved into a layout with the highest average gain over all sources and the whole frequency range. The experimental results showed that the harmonic mean of signal-to-distortion ratios (SDRs) was improved by 6.0 dB in simulations and by 5.7 dB in a real environment. |
| Starting Page | 5548 |
| Ending Page | 5554 |
| File Size | 1473347 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479999941 |
| DOI | 10.1109/IROS.2015.7354163 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-28 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Microphones Layout Source separation Arrays Mobile robots Array signal processing |
| Content Type | Text |
| Resource Type | Article |
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