About
This website provides the slides & materials for the lecture Computational Analysis of Sound and Music, which will be held during the summer semester 2024 at the TU Ilmenau.
Please contact Dr.-Ing. Jakob Abeßer @ jakob.abesser@idmt.fraunhofer.de for questions.
Last update: 12.06.2024
Licence
All lecture material is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Schedule
- Lecture 1: Tuesday 9:00-10:30, Seminar room H1519
- Lecture 2: Thursday 9:00-10:30, Seminar room K2039
Week | Lecture 1 | Lecture 2 |
---|---|---|
1 (08.04.-14.04.2024) | A1 | A2 |
2 (15.04.-21.04.2024) | A3 | D1 |
3 (22.04.-28.04.2024) | D2 | D3 |
4 (29.04.-05.05.2024) | M1 (P*) | M2 |
5 (06.05.-12.05.2024) | M3 | (public holiday) |
6 (13.05.-19.05.2024) | M4 | M5 |
7 (20.05.-26.05.2024) | M6 | E1 |
8 (27.05.-02.06.2024) | E2 | E3 |
9 (03.06.-09.06.2024) | E4 | P1 |
10 (10.06.-16.06.2024) | P2 | P3 |
11 (17.06.-22.06.2024) | P4 | P5 |
12 (24.06.-30.06.2024) | P6 | P7(**) |
- (P*) Topic presentation for research project
- (**) Submission deadline for research paper + Presentation of research papers (5 min) at Fraunhofer IDMT
Lecture Content
Audio Processing
- A1 - Introduction & Audio Domains
- A2 - Audio & Time Frequency Representations
- A3 - Sound Perception
Machine Learning / Deep Learning
- D1 - Machine Learning
- D2 - Deep Learning - Fundamentals
- D3 - Deep Learning – Network Architectures
Music Information Retrieval
- M1 - Rhythmic Analysis
- M2 - Harmonic Analysis
- M3 - Music Transcription 1/2
- M4 - Music Transcription 2/2
- M5 - Source Separation
- Slides (PDF)
- (no Jupyter notebook for this lecture)
- M6 - Music Tagging & Similarity
Environmental Sound Analysis
- E1 - Sound Event Detection 1/2
- E2 - Sound Event Detection 2/2
- E3 - Acoustic Scene Analysis
- E4 - Acoustic Anomaly Detection
Research Project
- P0 - Logistics
- P1 - Literature Review
- P2 - Literature Review 2 + Citations
- P3 - Scientic Writing
- P4 - Tables & Figures