Abstract

In recent 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. 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 to assess the effectiveness of this system.

Highlights

  • In recent years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments

  • The best synchronization that has been achieved with the system described in Figure 2 is 30us, so, we record at 44.1 kHz our network recording system only allows reliable calculations up to a signal frequency of 16 kHz, which is enough for the system we are concerned with applied to classrooms and speech, and that has allowed us to focus on Speech Intelligibility Index (SII)

  • In SII, for example, the interesting thing is to analyze up to 8 kHz in 1/3 octave bands, which is the most precise thing described by the American National Standards Institute (ANSI) S3.5-1997 standard [20]

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Summary

Introduction

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. 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. This standard makes some recommendations on different aspects related to the measurement procedure (e.g., exciting signal used, number of measurements, etc.), and leaves some non-mandatory aspects to allow innovation It opens the possibility of evaluating other parameters related to the amount of energy from the impulse response in every receiver location. Using WASN technology we gather the acoustic information of the whole room in one single shot from the sound source using a series of sensors distributed in the room

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