Implementation of Simultaneous Deconvolution on a Real-time Smartphone App

Rawat A, Bharitkar S, Devantier A, McDuffee M, Banka R. Implementation of Simultaneous Deconvolution on a Real-time Smartphone App. In: AES Convention 155. Audio Engineering Society; 2023. Paper 133. Available from: https://aes.org/publications/elibrary-page/?id=22287

@inproceedings{Rawat2023_22287,
  author = {Rawat, Ashish and Bharitkar, Sunil and Devantier, Allan and McDuffee, Matthew and Banka, Ritesh},
  title = {{Implementation of Simultaneous Deconvolution on a Real-time Smartphone App}},
  booktitle = {AES Convention 155},
  note = {Paper 133},
  year = {2023},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22287}
}

TY  - CPAPER
TI  - Implementation of Simultaneous Deconvolution on a Real-time Smartphone App
AU  - Rawat, Ashish
AU  - Bharitkar, Sunil
AU  - Devantier, Allan
AU  - McDuffee, Matthew
AU  - Banka, Ritesh
T2  - AES Convention 155
M1  - Paper 133
PY  - 2023
DA  - 2023/10/06
UR  - https://aes.org/publications/elibrary-page/?id=22287
PB  - Audio Engineering Society
LA  - en
AB  - In-room speaker system equalization was traditionally implemented by exciting one speaker at a time. With a higher number of speakers, restrictions of measurement microphone setup, the annoyance factor due to traditional stimuli, and background noises, the process of measuring the impulse response of a multi-channel system in real-time can be cumbersome. With FFT computation restrictions on a smartphone DSP, the accuracy and resolution of the impulse responses are compromised. This paper addresses all of these concerns with a novel approach to implementing the Simultaneous Deconvolution of a multichannel speaker system. It uses a set of circularly shifted Sine-Sweep stimuli to excite the speakers and calculate the impulse responses in real-time on a smartphone app over a cloud-based architecture. An independent recording and playback system, along with manual delays or system delays due to Bluetooth, Wi-Fi, or cloud-based communication, pose further challenges to the accuracy of our measurements. To surmount these complications, we discuss a time-alignment method that uses bin-wise matched filtering of spectrograms, followed by a statistical analysis of its results.
ER  -