Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
To be able to analyse speech signals in practice using popular speech processing algorithms.
Credits: 5
Schedule: 25.01.2021 - 08.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Paavo Alku, Mikko Kurimo
Teacher in charge (applies in this implementation): Paavo Alku, Mikko Kurimo
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
The most important methods of speech processing (linear prediction, cepstrum etc). Introductory lectures are first
given on each topic after which assignments on the topics are done
in groups using mainly the MATLAB tool. It is possible to expand
the assignments by taking the course ELEC-E5540 Special Assignment in Speech and Language Processing L V
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Assignments.
Workload
Valid 01.08.2020-31.07.2022:
Lectures, exercise sessions, approximately 40 h
Own work approximately 93 h
Total: 133 h
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Handout
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
ELEC-E5520, S-89.3640
Prerequisites
Valid 01.08.2020-31.07.2022:
ELEC-E5500 Speech Processing
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
- Teacher: Alku Paavo
- Teacher: Kurimo Mikko