EN2300 Course Description

Aim

After passing the course, students should be able to:

• qualitatively describe the mechanisms of human speech production and how the articulation mode of different classes of speech sounds determines their acoustic characteristics,
• apply MatLab tools to analyse speech signals in the time and frequency domains, and in terms of the parameters of a source-filter production model,
• solve given problems regarding parameter estimation in source-filter production models and regarding speech analysis and synthesis using these models,
• describe and implement methods and systems for efficient quantization and coding of speech signals, and solve given problems regarding these methods,
• describe and implement methods for speech enhancement, and solve given problems regarding these methods,
• describe and implement simple pattern-recognition applications of speech processing, such as speaker and speech recognition, and solve given problems regarding these methods.

To achieve higher grades, students should also be able to:

• solve more advanced given problems in all areas mentioned above.

Contents

The course is about current speech signal processing technology and provides hands-on experience with the application of signal processing methods. The course includes topics in four main branches of audio speech processing:

• analysis-synthesis of speech,
• speech quantization, coding, and transmission,
• speech enhancement,
• acoustic speaker and/or speech recognition.

Time

Lectures: 24h, tutorials: 24h

Prerequisites

2E1423/ EQ1220 Signal Theory, or equivalent

Course requirements

Written examination (75%), home assignments (25%)

Grading

A-F

Course Literature