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Today

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1. Welcome. Today. Admin. Module Overview. A taste of things to come. CA461 Speech Processing 1 ... A Taste of Things to Come. Today's Lab. Recording. Analysis ... – PowerPoint PPT presentation

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Title: Today


1
CA461 Speech Processing 1
  • Welcome
  • Today
  • Admin
  • Module Overview
  • A taste of things to come

2
Admin
  • Lectures
  • John McKenna, john_at_computing.dcu.ie Office 2.47,
    Tel. (700)5507
  • Tuesday 1pm, C114
  • Thursday 2pm, Q119
  • Labs
  • Tuesday 3-5pm, L2.08

3
Admin
  • CA4 students welcome from all streams
  • CL4 core module
  • CLX welcome too
  • Please come see me if you have doubts about
    prerequisite knowledge
  • Prerequisites
  • Some maths
  • probability, linear algebra (matrices)
  • Ability to program
  • Open mind

4
Admin
  • Assessment
  • Continuous Assessment 60
  • Assignment 1 40 or Assignment 2 50
  • APC 10 (Not a distance education module)
  • End of module exam 40
  • Books, etc
  • See Module Descriptor for list
  • No book purchase necessary
  • Recommended
  • Gold Morgan, or Holmes Holmes
  • Headset required
  • Composite (with microphone) recommended
  • Sharing feasible

5
Module Overview
  • Module Aims
  • To present the characteristics of speech
  • To discuss automatic speech recognition systems
  • Indicative Syllabus
  • Speech Production, Representations and
    Terminology
  • Introduction to Waveforms, Spectrograms,
    Fundamental Frequency Formants
  • Overview of ASR (Automatic Speech Recognition)
  • Hidden Markov Models (HMMs) and Trellis
    Algorithms
  • Speech Parametrisation for ASR
  • HMM Training and Recognition
  • Other issues and applications

6
Module Overview
  • Learning Outcomes
  • An understanding of speech production and speech
    waveforms
  • Familiarity with current models of speech
    production and analysis
  • Competence at implementing speech recognition
    algorithms
  • Ability to program MATLAB scripts
  • Ability to use HTK (Hidden Markov Model Toolkit)
    for speech recognition design
  • A good knowledge of the principles and problems
    involved in the design, implementation and
    evaluation of speech recognition systems

7
Module Overview
  • Achieving the aims of the module will involve the
    following
  • Communication skills
  • Group Work skills
  • Organisational skills
  • Personal skills
  • Problem solving skills
  • Programming skills
  • Information Technology skills
  • Cross-disciplinary partnerships
  • Skills transfer
  • Module mailing list
  • Discussion forum No code!!!

8
What about Speech Processing 2?
  • Focus on
  • Speech Analysis
  • Digital Signal Processing of Speech
  • Speech Synthesis
  • Prerequisites
  • Speech Processing 1 or
  • possibly DSP 1
  • Semester 1
  • You can choose both DSP1 and SP1

9
A Taste of Things to Come
  • Todays Lab
  • Recording
  • Analysis
  • Synthesis
  • Experiment
  • Now
  • Demos
  • Next
  • Speech Production Review
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