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FxLMS Aktiv Støjreduktion×Taleforståelighed×
FagområdeAkustikAkustik
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19751980
OphavspersonBernard Widrow, Samuel StearnsHerman Steeneken, Tammo Houtgast
TypeAdaptive noise cancellation algorithmSpeech clarity assessment method
Oprindelig kildeWidrow, 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 ↗
AliasserFxLMS, filtered-x LMS, active noise cancellation, ANCintelligibility metrics, STI, Speech Transmission Index, clarity index
Relaterede55
ResuméThe 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.
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ScholarGateSammenlign metoder: FxLMS Active Noise Control · Speech Intelligibility. Hentet 2026-06-18 fra https://scholargate.app/da/compare