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Kõne arusaadavus×FxLMS aktiivne mürakontroll×
ValdkondAkustikaAkustika
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta19801975
LoojaHerman Steeneken, Tammo HoutgastBernard Widrow, Samuel Stearns
TüüpSpeech clarity assessment methodAdaptive noise cancellation algorithm
AlgallikasSteeneken, 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 ↗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 ↗
Rööpnimetusedintelligibility metrics, STI, Speech Transmission Index, clarity indexFxLMS, filtered-x LMS, active noise cancellation, ANC
Seotud55
KokkuvõteSpeech 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.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.
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ScholarGateVõrdle meetodeid: Speech Intelligibility · FxLMS Active Noise Control. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare