Please note! Course description is confirmed for two academic years, 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 become familiar with speech recognition methods and applications. Additionally, to learn to understand the structure of a typical speech recognition system and to know how to construct one in practice.

Credits: 5

Schedule: 25.10.2023 - 08.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Mikko Kurimo

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Preprocessing and feature extraction for speech, phoneme models,
    decoding, lexicon and language models, recognition and applications of
    continuous speech.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exercises and project work.

Workload
  • valid for whole curriculum period:

    Lectures: 24h
    Home exercises, group projects, and other individual work: 109

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    4 Quality Education

    5 Gender Equality

    9 Industry, Innovation and Infrastructure

    10 Reduced Inequality

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II