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Nächste Überarbeitung
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Vorhergehende Überarbeitung
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en:ki-seminar [2023/02/09 07:03]
martin angelegt |
en:ki-seminar [2023/07/04 05:43] (aktuell)
martin [Project reports (German)] |
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| ====== AI-assisted audio analysis of music and soundscapes ====== | ====== AI-assisted audio analysis of music and soundscapes ====== |
| === Research seminar, Jakob Abeßer and Martin Pfleiderer, winter 2022/23 === | === Research seminar, Jakob Abeßer and Martin Pfleiderer, winter 2022/23 === |
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| In the computer-aided analysis of music recordings and environmental sounds, algorithms of the so-called Artificial Intelligence (AI) are used today, which are specifically trained for certain tasks and fields of application with approaches of the so-called Machine Learning or Deep Learning and special audio data sets. The goal of the seminar at the HfM Weimar (WS 2022/23) was the practical introduction to approaches of audio signal processing as well as these AI-based methods; the basis for this is the programming language Python, whose basic knowledge is also taught. In the second half of the seminar, these approaches and methods were applied to concrete examples. The focus is on the recognition and classification of auditory events and textures in the context of issues in music analysis and soundscape research. | Today, within computer-aided analysis of music recordings and environmental sounds, algorithms of the so-called Artificial Intelligence (AI) are used, which are specifically trained for certain tasks and fields of application with approaches of the so-called Machine Learning or Deep Learning and special audio data sets. The goal of the seminar at the Music University Weimar (winter 2022/23) was the introduction to practical approaches of audio signal processing as well as these AI-based methods on the basis ofthe programming language Python, whose basic knowledge was also taught. In the second half of the seminar, these approaches and methods were applied to concrete examples. The focus is on the recognition and classification of auditory events and textures in the context of issues in music analysis and soundscape research. |
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| On this website, Jakob Abeßer's teaching materials are made available and student project reports (in German) are presented. Updated versions of the teaching materials, as well as other materials, are available on the [[https://machinelistening.github.io/|Machine Listening Lectures]] website. | On this website, Jakob Abeßer's teaching materials are made available and student project reports (in German) are presented. Updated versions of the teaching materials as well as more materials are available on the [[https://machinelistening.github.io/|Machine Listening Lectures]] website. |
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| ==== Course materials==== | ==== Course materials==== |
| Folien:\\ | Presentation slides:\\ |
| {{ :aiaa_0_introduction.pdf | AIAA 0 Introduction}}\\ | {{ :aiaa_0_introduction.pdf | AIAA 0 Introduction}}\\ |
| {{ :aiaa_1_python_environments.pdf | AIAA 1 Installation Python}}\\ | {{ :aiaa_1_python_environments.pdf | AIAA 1 Installation Python}}\\ |
| [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_4_Machine_Learning.ipynb|AIAA_4_Machine_Learning]]\\ | [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_4_Machine_Learning.ipynb|AIAA_4_Machine_Learning]]\\ |
| [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_5_Deep_Learning.ipynb|AIAA_5_Deep_Learning]]\\ | [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_5_Deep_Learning.ipynb|AIAA_5_Deep_Learning]]\\ |
| For installation of the Jupyter Notebooks please compare the instructions [[installation:en|here]]. \\ | For installation of the Jupyter Notebooks please compare the instructions [[en:installation|here]]. \\ |
| Please, use the follownig yml-file as project-specific Python environment: [[https://analyse.hfm-weimar.de/ki-seminar/aiaa.yml|aiaa.yml]]. | Please, use the follownig yml-file as project-specific Python environment: [[https://analyse.hfm-weimar.de/ki-seminar/aiaa.yml|aiaa.yml]]. |
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| More helpful materials:\\ | Some more helpful materials:\\ |
| {{ :aiaa_1_python.pdf | Python - Einführung}}\\ | {{ :aiaa_1_python.pdf | Python - Introduction}}\\ |
| [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_1_Python.ipynb|AIAA_1_Python]]\\ | [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_1_Python.ipynb|AIAA_1_Python]]\\ |
| [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_6_Research_Project_Useful_Hints.ipynb|AIAA_6_Research_Project_Useful_Hints]], [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_6_Research_Project_Useful_Hints.html|html]]-Ansicht\\ | [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_6_Research_Project_Useful_Hints.ipynb|AIAA_6_Research_Project_Useful_Hints]], [[https://analyse.hfm-weimar.de/ki-seminar/AIAA_6_Research_Project_Useful_Hints.html|html]]\\ |
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| ==== Project reports (German) ==== | ==== Project reports (in German) ==== |
| {{ :automatische_erkennung_von_vogelgesang_-_sophie_krueger.pdf |Automatische Erkennung von Vogelgesang}} von Sophie Krüger. \\ | {{ :automatische_erkennung_von_vogelgesang_-_sophie_krueger.pdf |Automatische Erkennung von Vogelgesang}}, Sophie Krüger. \\ |
| {{ :erkennung_von_musikinstrumenten_-_ronja_hoffmann.pdf |Automatische Erkennung von Musikinstrumenten}} von Ronja Hoffmann.\\ | {{ :erkennung_von_musikinstrumenten_-_ronja_hoffmann.pdf |Automatische Erkennung von Musikinstrumenten}}, Ronja Hoffmann.\\ |
| | {{ :rhythmusanalyse_nickals_koppe.pdf |Rhythmus-Analyse mit KI-Systemen}} von Nicklas Koppe |
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