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: 03.11.2021 - 17.12.2021
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 hAttendance in some contact teaching may be compulsory.
DETAILS
Study Material
valid for whole curriculum period:
Huang, Acero: Spoken Language Processing. Prentice Hall, 2001 ISBN: 0-13-022616-5
Yu, Deng: Automatic Speech Recognition A Deep Learning Approach. Springer, 2015 ISBN: 978-1-4471-5779-3
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn II-II
2021-2022 Autumn II-II
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ELEC-E5510
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.
In WebOodi