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arXiv · 2006.02774

A study on more realistic room simulation for far-field keyword spotting

Eric Bezzam·Robin Scheibler·Cyril Cadoux·Thibault Gisselbrecht
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Abstract

We investigate the impact of more realistic room simulation for training far-field keyword spotting systems without fine-tuning on in-domain data. To this end, we study the impact of incorporating the following factors in the room impulse response (RIR) generation: air absorption, surface- and frequency-dependent coefficients of real materials, and stochastic ray tracing. Through an ablation study, a wake word task is used to measure the impact of these factors in comparison with a ground-truth set of measured RIRs. On a hold-out set of re-recordings under clean and noisy far-field conditions, we demonstrate up to $35.8\%$ relative improvement over the commonly-used (single absorption coefficient) image source method. Source code is made available in the Pyroomacoustics package, allowing others to incorporate these techniques in their work.

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Eric Bezzam, Robin Scheibler, Cyril Cadoux, Thibault Gisselbrecht. 2020-06-04. A study on more realistic room simulation for far-field keyword spotting. https://arxiv.org/abs/2006.02774

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