面向开放式助听器的频率加权软约束空间选择性主动噪声控制
Frequency-Weighted Soft-Constrained Spatially Selective Active Noise Control for Open-Fitting Hearables
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中文总结 AI 辅助
本文提出频率加权软约束空间选择性主动噪声控制，用于开放式助听器，通过频率相关加权实现噪声降低与语音保留的灵活折衷，实验表明LTASS加权在无需干净语音下达到与oracle相当的感知效果。
中文摘要 AI 辅助
最近，针对开放式助听器的软约束空间选择性主动噪声控制（SSANC）被提出，以通过在所有频率上使用一个标量权衡参数，在噪声降低与期望语音保留之间实现灵活的折衷。本文通过引入期望语音保留误差的频率相关加权，同时保持低延迟时域主动控制，对软约束SSANC进行了推广。在多说话人场景中，使用实测声学脉冲响应，将基于语音可懂度指数（SII）、修正中间参考系统（MIRS）、长期平均语音频谱（LTASS）以及信号相关神谕（oracle）的频率相关加权与标量加权进行了比较。结果表明，LTASS和oracle加权在显著低于SII和MIRS加权所获得的失真水平下，提供了最大的语音可懂度提升和相当的语音质量提升。虽然oracle加权提供了最佳的整体感知权衡，但LTASS加权在不需要干净期望语音信号的情况下，提供了相当的感知权衡。
英文摘要
Recently, soft-constrained spatially selective active noise control (SSANC) for open-fitting hearables has been proposed to enable a flexible trade-off between noise reduction and desired-speech preservation using a scalar trade-off parameter across all frequencies. This paper generalizes soft-constrained SSANC by introducing frequency-dependent weighting of the desired-speech preservation error while maintaining low-delay time-domain active control. Frequency-dependent weightings based on the speech intelligibility index (SII), the modified intermediate reference system (MIRS), the long-term average speech spectrum (LTASS), and a signal-dependent oracle are compared with scalar weighting using measured acoustic impulse responses in a multi-speaker scenario. The results show that LTASS and oracle weightings provide the largest speech-intelligibility improvements and comparable speech-quality improvements at substantially lower distortion levels than those obtained with SII and MIRS weightings. While the oracle weighting provides the best overall perceptual trade-off, LTASS weighting provides a comparable perceptual trade-off without requiring the clean desired-speech signal.
发表机构
- Jade Hochschule（雅德应用科学大学）
机构由 AI 辅助整理，请以论文原文为准。
