Aanbieding 1 met studiegidsnummer 4021660FNR voor alle studenten in het 2e semester
met een gespecialiseerd master niveau.
- Semester
- 2e semester
- Inschrijving onder examencontract
- Niet mogelijk
- Beoordelingsvoet
- Beoordeling (0 tot 20)
- 2e zittijd mogelijk
- Ja
- Onderwijstaal
- Engels
- Onder samenwerkingsakkoord
- Onder interuniversitair akkoord mbt. opleiding
- Faculteit
- Faculteit Ingenieurswetenschappen
- Verantwoordelijke vakgroep
- Elektronica en Informatica
- Externe partnerinstelling(en)
- Universiteit Gent
- Onderwijsteam
- Decaan IR
(titularis)
- Onderdelen en contacturen
- 18 contacturen Hoorcollege
18 contacturen Werkcolleges, practica en oefeningen
6 contacturen Zelfstudie en externe werkvormen
- Inhoud
This course covers neuro-engineering approaches to auditory signal processing and neuroscience, which is a core area in biomedical engineering applications that focus on sound perception and assistive hearing technology such as cochlear implants and hearing aids. The course teaches how the brain processes sound and how these processes can be modelled. Skills to analyse and design signal processing tools for auditory applications are developed. The topics range from basic auditory neuroscience to modelling these processes and developing signal processing tools that make use of this information to develop new technology (e.g., MP3, smart-phone apps, hearing-aid algorithms). The course offers hands on experience with the above concepts and combines lectures with lab exercises on auditory experiments to offer a comprehensive view of auditory neuro-engineering. With this background, students become acquainted with signal processing techniques and analysis methods for the fields of auditory signal processing, hearing technology, auditory brain-computer interfacing and the development of auditory EEG based techniques for hearing diagnostics.
Contents
1. Physical basis:
• General background of auditory neuroscience, sound perception and auditory computation
• Auditory models of perception and computational models of the auditory system
• Signal processing in assistive devices (hearing-aids, cochlear implants)
• Auditory EEG: Hearing Diagnostics, brain-computer interface, links between EEG and sound perception
2. Application Oriented:
• Basics of quantifying sound perception and quality using alternative forced choice procedures in Matlab.
• Biomedical signal processing techniques and statistics to analyse auditory evoked brain potentials.
• Modelling auditory neuroscience processes and computer hearing (e.g., pre-processing of speech recognition systems).
• Signal processing and sound encoding in assistive devices such as hearing-aids and cochlear implants.
• Hands-on experience with auditory EEG and sound perception experiments.
- Bijkomende info
Teaching staff: Sarah Verhulst, UGent, Faculteit Ingenieurswetenschappen en Architectuur, Vakgroep Informatietechnologie, +32 9 264 33 16.
Keywords
Hearing, Auditory Signal Processing, Auditory Neuroscience, Auditory modelling, Assistive Device Algorithms (Hearing aids and cochlear implants)
Initial competences
Signal processing and filtering, basic knowledge of the EEG technique
Teaching methods
lecture, practical sessions, self-reliant study activities
Extra information on the teaching methods
The lectures will provide the necessary theoretical background to understand the topic, after which a practicum will be conducted on the same topic. This lab exercise comprises either a lab-experiment (e.g., EEG recording, psychophysics sound perception experiment) or computer simulations of auditory models, assistive hearing device technology. The students can work in group to complete the exercises and need to hand in a written report for each of the 4 practical sessions.
Learning materials and price
Slides, (e-)book chapters, publications
- Leerresultaten
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Final Competences
1. Understand the basics of auditory neuroscience and signal processing. In particular: cochlear transformation, auditory nerve and brainstem encoding principles.
2. Model key auditory features of the auditory system: auditory filter-bank models, and functional auditory neuronal models.
3. Be able to identify and apply the signal processing techniques and statistics to analyse auditory biomedical signals (e.g., auditory EEG).
4. A thorough understanding of how signal processing in assistive listening devices is applied.
5. Skills to further develop biomedical technology related to auditory neuroscience and sound perception.
- Beoordelingsinformatie
-
De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Andere bepaalt 100% van het eindcijfer
Binnen de categorie Examen Andere dient men volgende opdrachten af te werken:
- exam+reports+tasks
met een wegingsfactor 1
en aldus 100% van het totale eindcijfer.
- Aanvullende info mbt evaluatie
Evaluation methods
end-of-term evaluation and continuous assessment
Examination methods in case of periodic evaluation during the first examination period
Written examination, open book examination, oral examination
Examination methods in case of periodic evaluation during the second examination period
Written examination, open book examination, oral examination
Examination methods in case of permanent evaluation
Assignment
Possibilities of retake in case of permanent evaluation
examination during the second examination period is possible in modified form
Extra information on the examination methods
During examination period: oral open-book exam, graded project reports, contribution to tasks.
Calculation of the examination mark
Activities during the semester count for 30 %
- Toegestane onvoldoende
- Kijk in het aanvullend OER van je faculteit na of een toegestane onvoldoende mogelijk is voor dit opleidingsonderdeel.