TY - GEN
T1 - Implementation of Real-Time Sound Source Localization using TMS320C6713 Board with Interaural Time Difference Method
AU - Pamungkas, Yuri
AU - Rais, Yahya
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Innovations in robotics have been widely used and developed to facilitate various lines of human life. Robots are often designed to have human-like abilities (such as by implanting hearing abilities). However, many challenges need to be overcome in the application process. One of them is related to sound localization (determination of the sound source direction). Research related to sound localization has indeed been carried out by many researchers before. However, previous research still tends to use a lot of array microphones for the sound localization process, and the delay in sound detection still needs to be considered. Therefore, we are trying to build a real-time sound source localization system using the Interaural Time Difference Method. In this study, two array microphones were used for sound source detection, and a DSP board (TMS320C6713) was used for data processing so that this system could detect sound sources quickly and accurately. Based on the test results, this system can detect the source and direction of sound in real-time. It can be seen from the value of the detection delay, which ranges from 3. 05-27.08ms. In addition, the system can also predict sound direction quite well even though at measurement angles of more than -80° and 80°, there is still an estimation error (around 3.61% - 4.76%). Meanwhile, at angles of measurement less than -80° and 80°, the accuracy of the estimation of the direction of sound reaches 100%.
AB - Innovations in robotics have been widely used and developed to facilitate various lines of human life. Robots are often designed to have human-like abilities (such as by implanting hearing abilities). However, many challenges need to be overcome in the application process. One of them is related to sound localization (determination of the sound source direction). Research related to sound localization has indeed been carried out by many researchers before. However, previous research still tends to use a lot of array microphones for the sound localization process, and the delay in sound detection still needs to be considered. Therefore, we are trying to build a real-time sound source localization system using the Interaural Time Difference Method. In this study, two array microphones were used for sound source detection, and a DSP board (TMS320C6713) was used for data processing so that this system could detect sound sources quickly and accurately. Based on the test results, this system can detect the source and direction of sound in real-time. It can be seen from the value of the detection delay, which ranges from 3. 05-27.08ms. In addition, the system can also predict sound direction quite well even though at measurement angles of more than -80° and 80°, there is still an estimation error (around 3.61% - 4.76%). Meanwhile, at angles of measurement less than -80° and 80°, the accuracy of the estimation of the direction of sound reaches 100%.
KW - Audio Signal Processing
KW - Digital Signal Processing
KW - Interaural Time Difference
KW - Real-Time System
KW - Sound Source Localization
UR - http://www.scopus.com/inward/record.url?scp=85167418313&partnerID=8YFLogxK
U2 - 10.1109/ISMODE56940.2022.10180999
DO - 10.1109/ISMODE56940.2022.10180999
M3 - Conference contribution
AN - SCOPUS:85167418313
T3 - Proceedings - ISMODE 2022: 2nd International Seminar on Machine Learning, Optimization, and Data Science
SP - 269
EP - 274
BT - Proceedings - ISMODE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Seminar on Machine Learning, Optimization, and Data Science, ISMODE 2022
Y2 - 22 December 2022 through 23 December 2022
ER -