Project : Digital Signal Processing - 5PMSPSL1

Informations générales

  • Number of hours

    • Lectures 0
    • Projects 0
    • Tutorials 0
    • Internship 0
    • Laboratory works 0
    • Written tests 0

    ECTS

    ECTS 4.0

Goal(s)

Assimilation of the theoretical aspects of digital signal processing (sampling, digital filtering, discrete Fourier transform and spectral analysis, etc.); Illustration of the deep learning course, the audio processing course, and the speech processing course. Both of these objectives are fulfilled by implementing a speech / audio processing application (speech denoising) using a variety of conventional digital signal processing techniques and / or deep neural networks.

Contact Laurent GIRIN, Pascal PERRIER

Content(s)

  • Design, implementation and evaluation of a speech/audio signal processing application (speech denoising)
  • Implementation of various conventional digital signal processing techniques and/or deep neural networks
  • Assimilation of the underlying theoretical aspects


Prerequisites
  • Fundamentals in analog and digital signal processing
  • Fundamentals in machine learning and deep learning
  • Knowledge of Matlab/Python and/or deep learning programming environments (e.g. Keras, Pytorch)

Test

Written project report describing the work performed and the experimental results



Additional Information

Course list
Curriculum->Double-Diploma Engineer/Master->Semester 9
Curriculum->SICOM->Semester 9
Curriculum->Master->Semester 9

Bibliography

BELLANGER M., Traitement numérique du signal, Masson/CNET, Paris, 1990.
OPPENHEIM A.V., SHAFFER W.S., Digital Signal Processing, Prentice Hall, 1975.
ROBERT R.A., MULLIS C.T., Digital Signal Processing, Addison-Wesley Publishing Company, 1987.
Christopher Bishop, Pattern Recognition and Machine Learning. Springer, 2006.
Yann LeCun, Yoshua Bengio and Geoffrey Hinton, Deep learning. Nature, 521(7553), 436, 2015.