Speech and Image Signal Processing

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KHUDKIBOOK
SPEECH AND IMAGE 4726008
FREE PDF 4726008
Code: 4726008 Credits: 4 Semester 2 EACE

Speech and Image Signal Processing

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Speech and Image Signal Processing Syllabus — Unit-wise Content

The official GTU curriculum for Speech and Image Signal Processing (subject code 4726008) as prescribed for EACE · Semester 2 divides the course into 6 units, covering 36 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (4726008)

Unit 1 UNIT-I

5 lecture hours

  • Speech Processing Introduction: Anatomy and physiology of speech production
  • Vocal tract categorization of speech sounds
  • Prosody- the melody of speech
  • Speech perception

Unit 2 UNIT-II

5 lecture hours

  • Analysis Of Speech Signals Synthesis of pole zero speech models
  • STFT analysis and synthesis
  • Wiener filter based speech enhancement techniques
  • Selected methods of speech enhancement
  • Speech analysis and synthesis. w.e.f

Unit 3 UNIT-III

8 lecture hours

  • Digital Image Fundamentals: light and electromagnetic spectrum
  • components of the image processing system
  • image formation and digitization concepts
  • neighbors of pixel adjacency connectivity
  • regions and boundaries
  • distance measures

Unit 4 UNIT-IV

8 lecture hours

  • Image Enhancements: In Spatial Domain: Basic gray level transformations
  • Histogram processing using arithmetic/logic operations
  • Smoothing spatial filters
  • Sharpening spatial filters in frequency domain
  • Fourier transform and frequency domain concepts
  • Smoothing frequency- domain filters
  • Sharpening frequency domain filters

Unit 5 UNIT-V

10 lecture hours

  • Color And Morphological Processing: Image processing, C, olor fundamentals color models pseudo
  • Color image processing
  • Morphological image processing
  • Some basic concepts from set theory logic operations involving binary images dilation and erosion dilation erosion
  • Opening and closing
  • Some basic morphological algorithms

Unit 6 UNIT-VII

6 lecture hours

  • Image Segmentation and Object Recognition: Detection of discontinuities
  • Edge linking and boundary detection
  • Thresholding patterns and pattern class
  • Decision-theoretic methods
  • Structural methods
  • Recent applications and case studies
  • Recent Development in Speech and Image Signal Processing (Study from latest research papers from Scopus indexed/web of science journals
  • 04 hours during laboratory hours)

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