Machine Listening

Starts on

Ends on

Machine Listening
LECTURER

Jakob Abesser

ORGANIZER/S

Fraunhofer IDMT

CONTENT AND ORGANIZATION

This short course includes 6 lectures on the topic of Machine Listening.
After two foundation lectures on audio signal representations and machine learning / deep learning, the course will provide an in-depth overview with 2 lectures on each of the application scenarios music information retrieval (music tagging, music similarity, tempo estimation, music transcription, instrument recognition, source separation) and environmental sound analysis (acoustic scene classification, sound event detection, and acoustic anomaly detection).
A special focus will be on deploying machine listening algorithms in real-life scenarios.

Course material will be soon provided on the accompanying website
https://machinelistening.github.io

Interested AIDA students can send an email with the subject “Enroll to Machine Listening Lecture” to jakob.abesser@idmt.fraunhofer.de until “Enroll on this course button” becomes operational.

Lecture 1: Introduction to Audio Representations.

Lecture 2: Introduction to Machine Learning.

Lecture 3: Music Information Retrieval 1/2.

Lecture 4: Music Information Retrieval 2/2.

Lecture 5: Environmental Sound Analysis 1/2.

Lecture 6: Environmental Sound Analysis 2/2.

LEVEL

Graduate student course

COURSE TYPE

6 lectures + 4 seminars

PARTICIPATION TERMS

Teleconference

SCHEDULE

Winter semester

LANGUAGE

English

MODALITY (ONLINE / IN PERSON)

Online

Other short courses

2021. 06. 17 Go

Deep Learning School

2021. 06. 17 Go

Memory Network

2021. 06. 2 Go

Machine Listening

2021. 06. 2 Go

Deep Learning 2

2021. 06. 2 Go

Image Processing

2021. 06. 1 Go

Machine listening

Cookie Settings

A AIDA - AI Doctoral Academy may use cookies to remember your login data, collect statistics to optimize the functionality of the site and to perform marketing actions based on your interests.


These cookies are necessary to allow the main functionality of the website and are automatically activated when you use this website.
These cookies allow us to analyze the use of the website, so that we can measure and improve its performance.
Allow you to stay in touch with your social network, share content, send and post comments.

Required Cookies They allow you to personalize the commercial offers that are presented to you, directing them to your interests. They can be own or third party cookies. We warn you that, even if you do not accept these cookies, you will receive commercial offers, but without meeting your preferences.

Functional Cookies They offer a more personalized and complete experience, allow you to save preferences, show you content relevant to your taste and send you the alerts you have requested.

Advertising Cookies Allow you to stay in touch with your social network, share content, send and post comments.