Analysis and Processing of Speech
This course introduces the fundamental concepts and methods of speech data analysis and processing. We cover both practical and theoretical methods and demonstrate them with the help of relevant software.
This course is designed to introduce you to the fundamental concepts and methods of speech data analysis and processing. Through a blend of theory and practice, you will explore and understand key techniques in speech processing. The course includes:
- Fundamentals of Speech Analysis - Gain a deeper understanding of how speech data can be processed and analyzed, from estimating loudness and fundamental frequency to more advanced concepts.
- Spectral Analysis and Frequency Domain Processing - you will explore techniques such as Fourier transform, various spectral measures, and how to measure formants to analyze and manipulate speech.
- Digital Filters - you will learn how digital filters function and how they can be used to enhance or modify speech data.
- Cepstral Analysis - you will learn about cepstral analysis and how cepstral coefficients play a crucial role in speech processing.
Throughout the course, we will cover various methods and demonstrate these with relevant software, giving you the opportunity to practically apply your knowledge. Additionally, we will explore these techniques in the light of phonetic phenomena, providing a wider understanding of speech technology.
Analysis and Processing of Speech is a course in our Master's Programme in AI and Language.
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Course structure
Teaching format
Instruction is given in the form of lectures and laboratory sessions.
Assessment
This course is examined on the basis of written assignments and a written examination.
Examiner
Marcin Włodarczak (examiner and coordinating teacher)
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
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Contact
For more contact details, see our education pages:
Contact information for student affairs
If you have questions about the Master's programme in AI and Language, contact us at master-ai@ling.su.se.
Student Office- Visiting address
C378
- Office hours
Tuesdays 9–10
Wednesdays 13–15
Thursdays 13–16
- Phone hours
Tuesdays 9–10
Wednesdays 13–15
Thursdays 9–11 and 13–16
