Modelling and Analysing Sound and Music Signals
education program·university course·announced
2026/27 module covering MIR features and classifiers including MFCCs, nearest neighbours, deep neural networks and GANs.
Recorded facts
| Official site | https://www.york.ac.uk/students/studying/manage/programmes/module-catalogue/module/ELE00189M/latest ↗ |
|---|---|
| Geography | York, England, United Kingdom |
| course code | ELE00189M |
| price | Included in institutional tuition |
| title | Modelling and Analysing Sound and Music Signals |
| format | in_person |
| topics | onset detection; chromagrams; melody analysis; MFCCs; K-nearest neighbours; deep neural networks; GANs |
| duration | Semester 1 |
| end date | unknown |
| language | English |
| location | York |
| provider | University of York |
| recurrence | Semester 1 in 2026/27 |
| start date | 2026-09 |
| instructors | unknown |
| program type | university module |
| prerequisites | Programme-specific registration requirements |
| program state | announced |
| target audience | MSc Audio and Music Technology and related York students |
| learning outcomes | Model and analyse sound and music signals using contemporary machine-learning methods |
| application deadline | Institutional module registration |
| credential or outcome | Academic credit |
| scholarship and funding | Not separately disclosed |
Current
| includes course (by) | MSc Audio and Music TechnologySource 1 ↗ VERIFIED high confidence |
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Sources & changes
Checked 10d ago · highhow verification works
Field-level evidence
Public change history
- Status unknown → announced
- Official URL unknown → www.york.ac.uk/students/studying/manage/programmes/module-catalogue/module/ELE00189M/latest
- Record maintenance · 12 fields updated
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