论文标题
DNSMOS：一种非侵入性感知目标语音质量指标，用于评估噪声抑制器
DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressors
论文作者
论文摘要
人类主观评估是评估对人类感知优化的语音质量的黄金标准。感知客观指标是主观得分的代理。常规和广泛使用的指标需要参考清洁语音信号，这在真实录音中不可用。无参考方法与人类评分的相关性很差，在研究界并未广泛采用。这些感知目标指标的最大用例之一是评估抑制算法。本文介绍了基于多阶段的基于自我教学的感知目标度量，该指标旨在评估抑制器。所提出的方法在挑战性测试条件上概括了与人类评分高度相关的测试条件。
Human subjective evaluation is the gold standard to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores. The conventional and widely used metrics require a reference clean speech signal, which is unavailable in real recordings. The no-reference approaches correlate poorly with human ratings and are not widely adopted in the research community. One of the biggest use cases of these perceptual objective metrics is to evaluate noise suppression algorithms. This paper introduces a multi-stage self-teaching based perceptual objective metric that is designed to evaluate noise suppressors. The proposed method generalizes well in challenging test conditions with a high correlation to human ratings.
