Authors :
Islam Md Shafikul
Volume/Issue :
Volume 9 - 2024, Issue 7 - July
Google Scholar :
https://tinyurl.com/2p88z839
Scribd :
https://tinyurl.com/3um2t2eh
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUL1771
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In our regular lives, sound plays an important
role on various sides. There is a valuable effect on
communications, emotions, and affections. Humans and
animals are not the only sources of sounds. Machines and
engines also generate a wide range of sounds. Every sound
has different characteristics according to its internal
format. Sound source and production method are the key
factors in these differences. In our article, we showed the
differences in zero crossing rates between mechanical
machines (CNC milling) and music sounds using the
artificial intelligence-based tool LibROSA. At the end of
the results, we estimate that the human or musical voice
has a lower zero crossing rate than mechanical machine
sounds.
Keywords :
Sound Analysis, CNC Milling Machine, Artificial Intelligence, Sound Zero Crossing Rate (ZCR).
References :
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- B. Atal, and L. Rabiner, “A Pattern RecognitionApproach to Voiced-Unvoiced-Silence Classificationwith Applications to Speech Recognition,” IEEETrans. On ASSP, vol. ASSP-24, pp. 201-212, 1976.
- S. Ahmadi, and A.S. Spanias, “Cepstrum-Based PitchDetection using a New Statistical V/UV ClassificationAlgorithm,” IEEE Trans. Speech Audio Processing,vol. 7 No. 3, pp. 333-338, 1999.
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- T.L. Burrows, “Speech Processing with Linear andNeural Network Models”, Ph.D. thesis, CambridgeUniversity Engineering Department, U.K., 1996.
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- J. K. Shah, A. N. Iyer, B. Y. Smolenski, and R. E.Yantorno “Robust voiced/unvoiced classification usingnovel features and Gaussian Mixture model”, SpeechProcessing Lab., ECE Dept., Temple University, 1947N 12th St., Philadelphia, PA 19122-6077, USA.
- J. Marvan, “Voice Activity detection Method andApparatus for voiced/unvoiced decision and PitchEstimation in a Noisy speech feature extraction”,08/23/2007, United States Patent 20070198251.
- T. F. Quatieri, Discrete-Time Speech SignalProcessing: Principles and Practice, MIT LincolnLaboratory, Lexington, Massachusetts, Prentice Hall,2001, ISBN-13:9780132429429.
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In our regular lives, sound plays an important
role on various sides. There is a valuable effect on
communications, emotions, and affections. Humans and
animals are not the only sources of sounds. Machines and
engines also generate a wide range of sounds. Every sound
has different characteristics according to its internal
format. Sound source and production method are the key
factors in these differences. In our article, we showed the
differences in zero crossing rates between mechanical
machines (CNC milling) and music sounds using the
artificial intelligence-based tool LibROSA. At the end of
the results, we estimate that the human or musical voice
has a lower zero crossing rate than mechanical machine
sounds.
Keywords :
Sound Analysis, CNC Milling Machine, Artificial Intelligence, Sound Zero Crossing Rate (ZCR).