Proceedings of 2010 IEEE International Symposium on Circuits and Systems 2010
DOI: 10.1109/iscas.2010.5537295
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Intelligent ubiquitous sensor network for sound acquisition

Abstract: Abstract-We propose a microphone array network that realizes ubiquitous sound acquisition. Nodes with 16 microphones are connected to form a large sound acquisition system that carries out voice activity detection (VAD), sound source localization and sound source separation. The three operations are distributed among nodes using network. Because the VAD is implemented to manage power consumption, the system consumes little power when speech is not active. The power of the VAD module is only 2.1 mW on an FPGA. … Show more

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Cited by 5 publications
(2 citation statements)
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“…Combinations of sound localization techniques are also possible when targeting distributed networks. The authors in [81][82][83] propose a distributed network of FPGA-based microphone array nodes for sound source localization and separation. The architecture includes a voice activity detector (VAD), the MUSIC algorithm for the sound-source location and the Delay-and-Sum beamforming technique for the sound sources separations at the network level.…”
Section: Fpga-based Designs Of Hrse-based Sound Locatorsmentioning
confidence: 99%
“…Combinations of sound localization techniques are also possible when targeting distributed networks. The authors in [81][82][83] propose a distributed network of FPGA-based microphone array nodes for sound source localization and separation. The architecture includes a voice activity detector (VAD), the MUSIC algorithm for the sound-source location and the Delay-and-Sum beamforming technique for the sound sources separations at the network level.…”
Section: Fpga-based Designs Of Hrse-based Sound Locatorsmentioning
confidence: 99%
“…Aunque en este trabajo tampoco se encuentra relación al control de campo sonoro, es importante señalar la importancia de realizar una implementación softwa-re en Matlab para validar el funcionamiento del algoritmo, que para esta trabajo de tesis se hace necesario evaluar el algoritmo FxLMS para validar los resultados de una implementación hardware. Aumentando el número de micrófonos en [2] se propone un arreglo de micrófonos, con sub arreglos de 16 micrófonos, llamado IUSN, el cual es implementado en una FPGA usando una estructura de procesamiento DSP, su implementación se puede ver en la figura 3.2. Las aplicaciones de IUSN son detección activa de voz con 1 micrófono para encender los 15 micrófonos restantes cuando se detecta voz, de esa manera cuando no hay voz se apagan casi todos los micrófonos para ahorrar energía.…”
Section: Trabajos Relacionadosunclassified