EN2300 Course Description
6 credits (ECTS): 4.5 for the exam and 1.5 for the project assignments. The course is given in English.
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.
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.
Lectures: 24h, tutorials: 24h
2E1423/ EQ1220 Signal Theory, or equivalent
Written examination (75%), home assignments (25%)