TY - JOUR
T1 - Identification and tracking of particular speaker in noisy environment
AU - Sawada, Hideyuki
AU - Ohkado, Minoru
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Human is able to exchange information smoothly using voice under different situations such as noisy environment in a crowd and with the existence of plural speakers. We are able to detect the position of a source sound in 3D space, extract a particular sound from mixed sounds, and recognize who is talking. By realizing this mechanism with a computer, new applications will be presented for recording a sound with high quality by reducing noise, presenting a clarified sound, and realizing a microphone-free speech recognition by extracting particular sound. The paper will introduce a realtime detection and identification of particular speaker in noisy environment using a microphone array based on the location of a speaker and the individual voice characteristics. The study will be applied to develop an adaptive auditory system of a mobile robot which collaborates with a factory worker.
AB - Human is able to exchange information smoothly using voice under different situations such as noisy environment in a crowd and with the existence of plural speakers. We are able to detect the position of a source sound in 3D space, extract a particular sound from mixed sounds, and recognize who is talking. By realizing this mechanism with a computer, new applications will be presented for recording a sound with high quality by reducing noise, presenting a clarified sound, and realizing a microphone-free speech recognition by extracting particular sound. The paper will introduce a realtime detection and identification of particular speaker in noisy environment using a microphone array based on the location of a speaker and the individual voice characteristics. The study will be applied to develop an adaptive auditory system of a mobile robot which collaborates with a factory worker.
KW - Cepstrum
KW - Microphone array
KW - Noisy environment
KW - Sound localization
KW - Speaker identification
UR - http://www.scopus.com/inward/record.url?scp=17644387178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=17644387178&partnerID=8YFLogxK
U2 - 10.1117/12.580588
DO - 10.1117/12.580588
M3 - Conference article
AN - SCOPUS:17644387178
VL - 5603
SP - 138
EP - 145
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
M1 - 18
T2 - Machine Vision and its Optomechatronic Applications
Y2 - 26 October 2004 through 28 October 2004
ER -