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Overview
Key facts
In Kadenze's Music Information Retrieval program you will gain an introduction to MIR, Audio Signal Processing, and Machine Learning, and will learn about audio feature extraction, content-based audio searching, automatic rhythmic analysis, and MIDI and symbolic MIR.
Programme Structure
Courses include:
- Genre, Emotion and Tag Classification
- Music Transcription
- Query by humming
- Structural analysis of music
- Audio programming
- Audio fingerprinting and watermarking
- Content and Context aware interfaces for music and audio
Key information
Duration
- Part-time
- 16 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Stanford, United States
Disciplines
Music Composition View 3 other Short Courses in Music Composition in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Skill Level : Advanced
Prior Knowledge
- Good knowledge of programming, basic linear algebra, probability, and statistics.
Equipment
- Computer with installation privileges.
Software
- This program is mostly software agnostic but existing frameworks for MIR and audio will be used. All software will be freely available and typically also open source. Examples include: Audacity, Marsyas, Sonic Visualizer, and VAMP plugins.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents600 USD / full≈ 600 USD / full - Out-of-State600 USD / full≈ 600 USD / full
-
Domestic
Applies to youIn-State600 USD / full≈ 600 USD / full
Funding
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