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Speech and Language Technology (minor)
Basic information
Code:
ELEC3069
Extent:
20–25
ECTS
Curriculum:
2024–2026
2022–2024
Level:
Advanced studies
Language of learning:
English
Theme:
ICT and digitalisation
Target group:
All Aalto students
Teacher in charge:
Mikko Kurimo
Administrative contact:
Outi Väisänen
Organising department:
Department of Information and Communications Engineering
School:
School of Electrical Engineering
Prerequisites:
-
Quotas and restrictions:
-
Application process:
No separate application procedure.
Content and structure of the minor
About the minor
The purpose of the minor is to provide the students with basics of speech and language processing and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling and for speech analysis, synthesis, recognition, and coding. Speech and language technology is an interdisciplinary field where knowledge of signal processing and machine learning can be combined with the modelling and measuring of human behavior, for example, in speech production and perception. Recent applications and research priorities are, for example, speech recognition and synthesis, dictation, subtitling, machine translation, language learning, large-scale video data indexing and retrieval, speech coding and quality improvement as well as medical research of the human voice.
Content
| Code | Course name | ECTS | Period |
|---|---|---|---|
| ELEC-E5500 | Speech Processing | 5 | I |
| ELEC-E5550 | Statistical Natural Language Processing D | 5 | III-IV |
Choose 10-15 credits from the list below |
|||
| ELEC-E5510 | Speech Recognition D | 5 | II / 1 |
| ELEC-E5522 | Speech Processing Project D | 5 | IV-V / 1 |
| ELEC-E5531 | Speech and Language Processing Seminar V D | 5 | I-Summer |
| CS-E4715 | Supervised Machine Learning D | 5 | I-II |
| CS-E4890 | Deep Learning D | 5 | III-IV |
Previous curriculum
Code: ELEC3069
Extent: 20–22 ECTS
Curriculum: 2024–2026
Level: Masters
Language of instruction: English
Theme: ICT and digitalisation
Teacher in charge: Mikko Kurimo
Administrative contact: Eeva Halonen
Organising department: Department of Signal Processing and Acoustics
Target group: All Aalto students
Prerequisites: -
Quotas and restrictions: -
Application process: No separate application procedure.
Objectives
The purpose of the minor is to provide the students with basics of speech and language processing and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling and for speech analysis, synthesis, recognition, and coding. Speech and language technology is an interdisciplinary field where knowledge of signal processing and machine learning can be combined with the modelling and measuring of human behavior, for example, in speech production and perception. Recent applications and research priorities are, for example, speech recognition and synthesis, dictation, subtitling, machine translation, language learning, large-scale video data indexing and retrieval, speech coding and quality improvement as well as medical research of the human voice.
| Code | Course name | ECTS credits | Period |
|---|---|---|---|
| Compulsory courses (10 credits): | |||
| ELEC-E5500 | Speech Processing | 5 | I |
| ELEC-E5550 | Statistical Natural Language Processing | 5 | III-IV |
| Optional courses (10-15 credits): | |||
| ELEC-E5510 | Speech Recognition D | 5 | II / 1 |
| ELEC-E5522 | Speech Processing Project D | 5 | III-IV / 1 |
| ELEC-E5531 | Speech and Language Processing Seminar V D | 5 | I-Summer |
| CS-E4710 | Machine Learning: Supervised Methods | 5 | I-II |
| CS-E4890 | Deep Learning | 5 | II |