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

Description

Registration and further information