ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

FxLMS 有源噪声控制×语音清晰度×
领域声学声学
方法族Process / pipelineProcess / pipeline
起源年份19751980
提出者Bernard Widrow, Samuel StearnsHerman Steeneken, Tammo Houtgast
类型Adaptive noise cancellation algorithmSpeech clarity assessment method
开创性文献Widrow, B., & Stearns, S. D. (1975). Adaptive signal processing for active vibration and noise control. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23(5), 440–453. DOI ↗Steeneken, H. J., & Houtgast, T. (1980). A physical method for measuring speech-transmission quality. Journal of the Acoustical Society of America, 67(1), 318–326. DOI ↗
别名FxLMS, filtered-x LMS, active noise cancellation, ANCintelligibility metrics, STI, Speech Transmission Index, clarity index
相关55
摘要The Filtered-x Least Mean Squares (FxLMS) algorithm is an adaptive filter used in active noise control (ANC) systems to reduce unwanted sound by generating anti-noise. Pioneered by Widrow and Stearns in 1975 and refined by Eriksson and colleagues, FxLMS is the most widely deployed algorithm in commercial noise-canceling headphones, hearing aids, automotive cabins, and industrial noise barriers. It works by continuously learning the acoustical path and dynamically adjusting a canceling signal in real time.Speech intelligibility is a quantitative measure of how well listeners understand spoken content in acoustic environments. Formalized by Steeneken and Houtgast in 1980 with the Speech Transmission Index (STI), intelligibility metrics combine room acoustic parameters (RT60, noise, clarity) to predict listener comprehension. Understanding speech intelligibility is essential for designing classrooms, offices, hearing aids, and public address systems where clear communication is critical.
ScholarGate数据集
  1. v1
  2. 3 来源
  3. PUBLISHED
  1. v1
  2. 3 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: FxLMS Active Noise Control · Speech Intelligibility. 于 2026-06-18 检索自 https://scholargate.app/zh/compare