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음성 명료도×FxLMS 능동 소음 제어×
분야음향학음향학
계열Process / pipelineProcess / pipeline
기원 연도19801975
창시자Herman Steeneken, Tammo HoutgastBernard Widrow, Samuel Stearns
유형Speech clarity assessment methodAdaptive noise cancellation algorithm
원전Steeneken, 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 ↗
별칭intelligibility metrics, STI, Speech Transmission Index, clarity indexFxLMS, filtered-x LMS, active noise cancellation, ANC
관련55
요약Speech 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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ScholarGate방법 비교: Speech Intelligibility · FxLMS Active Noise Control. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare