1 / 15

An- Najah National University Faculty of engineering Mechanical Engineering Department

An- Najah National University Faculty of engineering Mechanical Engineering Department. Graduation Project. SPEECH RECOGNITION. Supervised by : Dr. Bashir Nouri Prepared By : Jafar M.S Qamhyeh Karem M.Masri Khaled F. Bani Fadel Mohammed M. Abu-Issa.

rosetta-ardill
Télécharger la présentation

An- Najah National University Faculty of engineering Mechanical Engineering Department

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An-Najah National University Faculty of engineering Mechanical Engineering Department Graduation Project

  2. SPEECH RECOGNITION Supervised by : Dr. Bashir Nouri Prepared By : Jafar M.S Qamhyeh Karem M.Masri Khaled F. Bani Fadel Mohammed M. Abu-Issa

  3. Introduction : Block diagram

  4. Microphone • How microphone works • Microphone types • Sound Card

  5. Record The Signal

  6. Signal Processing • Breath noise • Filtering Process • Types of filter • Butterworth

  7. Spectral Analysis.Fast Fourier transform (FFT)

  8. CONTROLLING ROBOTIC CAR • Parallel port (LPT1)

  9. MATLAB SOFTWARE • MATLAB Software • The MATLAB Mathematical Function Library • The MATLAB Language • Graphics • Speech Signal Processing Using MATLAB • Recording the signals

  10. Raw Signal Processed signal -Filtering -Normalizing -Spectral analysis Signal processing

  11. Power density spectrum (Go’s Fingerprint)

  12. Thank You For Good Listening .

  13. Question Time ……….

More Related