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Active Noise Removal and Instrument Separation Techniques in MATLAB

This project explores advanced techniques for separating musical instruments, specifically piano and violin, from audio tracks while effectively removing vocal components from MP3 files. Using MATLAB, we demonstrate the process of analyzing stereo audio files, separating them into left and right channels, and employing methods like low cut filters and phase inversion to cancel unwanted noise. This research includes practical applications in acoustic noise cancellation using LMS filters, highlighting how to enhance audio clarity and instrument isolation in mixed recordings.

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Active Noise Removal and Instrument Separation Techniques in MATLAB

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  1. Instruments Separation through filtering and Active Noise Removal EE 321 Project INTAE KIM, Mouhamadou Diallo

  2. Filtering Piano & Violin • Separating two instruments by filtering in MATLAB Duet

  3. Removing Voice from MP3 • Mp3 file is usually stereo. • Stereo has left and right parts Voice – Same phase on left and right. Instrument – Different phase on each side • Using MATLAB removing voice - Create matrix of Mp3 file - Separate matrix to left and right - Subtract left to right

  4. Removing Voice from MP3 • Example - Original

  5. Removing Voice from MP3 • Example - Removing Voice

  6. Voice Recording • Noise Reducing • Human voice: 300~3400 Hz • Focus on the major voice • ‘Low Cut Filter’

  7. Noise canceling • Collect Noise • Emit phase-inverted noise • Cancel each other out

  8. Noise canceling • Applications

  9. Acoustic Noise Cancellation using LMS filter

  10. Noise Cancelation

  11. Reference • http://en.wikipedia.org/wiki/Voice_frequency • http://www.themotorreport.com.au/5928/toyota-to-fit-active-noise-cancelling-to-crown-hybrid • http://pro.sony.com/bbsc/ssr/cat-audio/cat-wiredmics/product-C38B/ • http://blog.naver.com/rivelliun?Redirect=Log&logNo=140069759186

  12. Question?

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