  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.
