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Speech processing
Individual course
Max amount of FITech students: 10
Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.
Course contents
- Basics of audio signal processing
- Basics of psychoacoustics and perceptually motivated signal processing
- Acoustic theory of speech production
- The functions, acoustics and modelling of the larynx and the vocal tract
- Phones and phonation
- Time-frequency analysis of speech signals
- Principles of speech coding
- Linear prediction and its application in processing of speech signals
- Speech synthesis and speech recognition
After the course, the student is able to describe and make use of basic phenomena in speech communication, and describe and apply common speech processing methods, especially processing in the time-frequency domain.
Teaching methods
The course can be completed online, but there will a compulsory exam in Otaniemi.
- Lectures (Otaniemi): Mondays 9:15-12 and Thursdays 14:15-16.
- Exercise sessions (Otaniemi): Fridays 14:15-16.
- Exam (Otaniemi) 14.10. 9-12.
The course can be passed in Finnish or Swedish on request.
More information on Aalto University’s course page.
You can get a digital badge after completing this course.
Responsible teacher
Aalto University
Tom Bäckström
tom.backstrom(at)aalto.fi
Further information about the studies
Aalto University
Tiina Porthén
tiina.porthen(at)aalto.fi
Contact person for applications
FITech Network University
Fanny Qvickström, Student services specialist
info(at)fitech.io
Application period has ended
Topics:
AI and machine learning,
Computer engineering
Computer engineering
Course code:
ELEC-E5500
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
2.9.–14.10.2024
Application start date:
05.06.2024
Application deadline:
Application period has ended
Host university:
Aalto University
Who can apply:
Adult learner,
Degree student
Degree student
Teaching method:
Blended
Place of contact learning:
Espoo
Teaching language:
English
General prerequisites:
Basics of digital signal processing