Reconfigurable Multitask Audio Dynamics Processing Scheme

TL;DR

This paper introduces a reconfigurable multitask multiband audio dynamics processing scheme that enhances bass, loudness, and ASR performance while reducing distortion and echo, addressing limitations of existing methods.

Contribution

It proposes a novel global optimization framework for a reconfigurable multiband audio dynamics processor that improves multiple KPIs simultaneously.

Findings

Maximizes bass and loudness effectively

Reduces distortion and nonlinear echo

Significantly improves ASR accuracy

Abstract

Automatic speech recognition (ASR), audio quality, and loudness are key performance indicators (KPIs) in smart speakers. To improve all these KPIs, audio dynamics processing is a crucial component in related systems. Unfortunately, single-band and existing multiband dynamics processing (MBDP) schemes fail to maximize bass and loudness but even produce unwanted peaks, distortions, and nonlinear echo so that an optimized ASR performance cannot be achieved. It has been a goal in both industry and academia to find a better audio dynamics processing for mitigating these problems. To provide such a desired solution, this paper proposes a novel reconfigurable multitask MBDP scheme through a global optimization framework. Through extensive testing, we show the accuracy and effectiveness of the proposed scheme in terms of bass and loudness maximization, distortion and nonlinear echo reduction, browning-out prevention, and significant ASR performance improvement.