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FxLMS Active Noise Control×वाक् सुबोधता×
क्षेत्रध्वनिकीध्वनिकी
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष19751980
प्रवर्तकBernard Widrow, Samuel StearnsHerman Steeneken, Tammo Houtgast
प्रकारAdaptive noise cancellation algorithmSpeech clarity assessment method
मौलिक स्रोतWidrow, 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 ↗
उपनामFxLMS, filtered-x LMS, active noise cancellation, ANCintelligibility metrics, STI, Speech Transmission Index, clarity index
संबंधित55
सारांशThe 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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ScholarGateविधियों की तुलना करें: FxLMS Active Noise Control · Speech Intelligibility. 2026-06-19 को यहाँ से प्राप्त https://scholargate.app/hi/compare