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Speech recognition

Individual course

Max amount of FITech students: 10

Course content:

  • Preprocessing and feature extraction for speech phoneme models
  • Decoding
  • Lexicon and language models
  • Recognition and retrieval of continuous speech

After completing the course you will have become familiar with speech recognition methods and applications. Additionally, you will have learned to understand the structure of a typical speech recognition system and to know how to construct one in practice.

More information on Aalto University’s WebOodi course page.

You can get a digital badge after completing this course.

Further information about the studies

Aalto University
FITech ICT contact person
fitech-sci(at)aalto.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topics:
AI and machine learning,
Computer engineering
Course code:
ELEC-E5510
Credits:
5 ECTS
Teaching period:
30.10.–13.12.2019
Application deadline:
23.10.2019
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Level of studies:
Advanced
Teaching methods:
Blended
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Basic engineering mathematics and probability consept.