TY - JOUR
T1 - Speech intelligibility analysis and approximation to room parameters through the Internet of Things
AU - Lopez-Ballester, Jesus
AU - Alcaraz Calero, Jose M.
AU - Segura-Garcia, Jaume
AU - Felici-Castell, Santiago
AU - Garcia-Pineda, Miguel
AU - Cobos, Maximo
PY - 2021/2/5
Y1 - 2021/2/5
N2 - In the last years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments. Most of these applications are oriented to locate or identify sources and measure specific features of the environment involved. In this paper, we study the application of a WASN for room acoustic measurements. In order to evaluate the acoustic characteristics, a set of Raspberry Pi 3 (RPi) has been used. One is used to play different acoustic signals and four are used to record at different points in the room simultaneously. The signals are sent wirelessly to a computer connected to a server, where using MATLAB we calculate both the impulse response (IR), and different acoustic parameters, such as the Speech Intelligibility Index (SII). In this way, the evaluation of room acoustic parameters with asynchronous IR measurements two different applications has been explored. Finally, the network features have been evaluated in order to assess the effectiveness of this system.
AB - In the last years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments. Most of these applications are oriented to locate or identify sources and measure specific features of the environment involved. In this paper, we study the application of a WASN for room acoustic measurements. In order to evaluate the acoustic characteristics, a set of Raspberry Pi 3 (RPi) has been used. One is used to play different acoustic signals and four are used to record at different points in the room simultaneously. The signals are sent wirelessly to a computer connected to a server, where using MATLAB we calculate both the impulse response (IR), and different acoustic parameters, such as the Speech Intelligibility Index (SII). In this way, the evaluation of room acoustic parameters with asynchronous IR measurements two different applications has been explored. Finally, the network features have been evaluated in order to assess the effectiveness of this system.
KW - WASN
KW - room acoustics
KW - impulse response
KW - speech intelligibility index
KW - room parameters estimation
U2 - 10.3390/app11041430
DO - 10.3390/app11041430
M3 - Article
SN - 2076-3417
VL - 11
JO - Applied Sciences
JF - Applied Sciences
IS - 4
M1 - 1430
ER -
