Machine Listening Lectures
This website provides the lecture / seminar materials of different lectures on the topic of machine listening.
Please contact Dr.-Ing. Jakob Abeßer @ jakob.abesser@idmt.fraunhofer.de for questions.
Machine Listening for Music and Sound Analysis
This lecture will be held for the fourth time in the Winter semester 2023/24 as part of the Audio Signal Processing & Audio Systems Module at TU Ilmenau.
Last Update: 07.11.2023
Lecture Material
- Intro - Slides (PDF)
- Lecture 1 - Introduction to Audio Representations - Slides (PDF)
- Lecture 2 - Introduction to Machine Learning - Slides (PDF)
- Lecture 3 - Music Information Retrieval I - Slides (PDF)
- Lecture 4 - Music Information Retrieval II - Slides (PDF)
- Lecture 5 - Environmental Sound Analysis I - Slides (PDF)
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Lecture 6 - Environmental Sound Analysis II - Slides (PDF)
- Audio examples included in the slides can be downloaded as “audio.zip” from Zenodo
Video recording of the lecture
- Please contact Jakob Abeßer to get access to the video recordings of last year’s lectures (except for the first lecture)
Seminar Material
Seminars are held by Dipl.-Ing. Christian Kehling.
- Seminar 1 - Introduction to Python/Audio Processing Basics - IPython Notebook (ipynb), html, Piano1-1.wav
- Seminar 2 - Sound Classification using Support Vector Machine - ipynb, html
- Seminar 3 - Sound/Music Classification with Neural Networks - ipynb, html;
AI-based Audio Analysis (KI-gestützte Audioanalyse von Musik und Soundscapes)
(HfM Weimar, Winter Semester 2022/2023, Dr.-Ing. Jakob Abeßer + Prof. Dr. Martin Pfleiderer)
This seminar will be held jointly with Prof. Martin Pfleiderer (HfM Weimar) in the Winter semester 2022/23 on a bi-weekly basis.
Last Update: 08.11.2022
Lecture Material (Slides / Jupyter Notebooks)
- AIAA 0 - Introduction
- AIAA 1 - Python
- AIAA 2 - Audio Processing
- Slides (PDF)
- Audio Examples (ZIP with WAV files) - need to be unzipped into subfolder called “audio”
- Jupyter Notebook (ipynb)
- Open in Google Colab
- Audio Examples
- Slides (PDF)
- AIAA 3 - Research Projects
- AIAA 4 - Machine Learning
- Slides (PDF)
- Jupyter Notebook (ipynb)
- Open in Google Colab
- Audio Examples
- animal_sounds.zip - Unzip this file in a subdirectory called
audio
, it contains 25 WAV files in 5 subdirectories. The folder structure must be /audio/animal_sounds/cats/…
- animal_sounds.zip - Unzip this file in a subdirectory called
- AIAA 5 - Deep Learning
- Slides (PDF)
- Jupyter Notebook (ipynb)
- Open in Google Colab
- This notebook again uses the audio examples from the previous lecture (animal classification)
- AIAA 6 - Research Project - Useful hints
- Additional hints for the research project
- How to read dataset metadata from CSV files?
- How to segment audio files into uniform-length segments?
- Dataset split into training and test set
- Alternative audio features for specific tasks
- Research report structure
- Resources for literatur research
- HTML
- Jupyter Notebook (ipynb)
- Additional hints for the research project