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Machine Learning for Music Emotion Recognition

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2 months to complete
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Overview

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Learning outcomes

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Course content

1

Music Emotion Classification

2

Audio Feature Extraction

3

Deep Learning For Music

4

Emotion Recognition Systems

5

Music Information Retrieval

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
JM
James Mitchell
GB · Course completed

I recently completed the Machine Learning for Music Emotion Recognition course at Stanmore School of Business, and I must say it was an absolute game-changer. The course content was incredibly comprehensive, covering everything from the fundamentals of machine learning to advanced techniques for music emotion recognition. The quality of the course materials was exceptional, with plenty of practical examples and case studies to illustrate key concepts. I particularly appreciated the hands-on assignments, which gave me the opportunity to apply my knowledge and skills to real-world problems. As a result of taking this course, I was able to achieve my learning goals and gain a deeper understanding of how machine learning can be used to recognize and analyze emotions in music. I would highly recommend this course to anyone interested in this field - it's truly exceptional.

LR
Luisa Rodriguez
BR · Course completed

I took the Machine Learning for Music Emotion Recognition course at Stanmore School of Business and it was a really cool experience. I learned a lot about how to use machine learning algorithms to analyze music and recognize emotions, which is something I've always been interested in. The course materials were pretty good, with some really helpful videos and readings that explained things in a way that was easy to understand. One thing that was really useful was the project we worked on at the end of the course, where we had to build our own music emotion recognition system using a dataset of songs. It was a lot of fun and really helped me understand how to apply the concepts we learned in the course to a real-world problem. Overall, I'd definitely recommend this course to anyone who's interested in music and machine learning - it's a great way to learn some new skills and have some fun at the same time.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Machine Learning for Music Emotion Recognition course at Stanmore School of Business was absolutely amazing! I was blown away by the quality of the course materials and the expertise of the instructors. The course covered everything from the basics of machine learning to advanced techniques for music emotion recognition, and it was all presented in a clear and concise manner. I was particularly impressed by the emphasis on practical applications and the opportunities we had to work on real-world projects. As someone who's passionate about music and technology, I found this course to be a dream come true. I learned so much and had an incredible time doing it - I would highly, highly recommend this course to anyone who's interested in this field. Thank you, Stanmore School of Business, for an unforgettable learning experience!

ZD
Zanele Dlamini
ZA · Course completed

I completed the Machine Learning for Music Emotion Recognition course at Stanmore School of Business and it was a thoroughly enjoyable and enriching experience. As someone with a background in music and a interest in machine learning, I found the course to be perfectly tailored to my needs and interests. The course materials were detailed and well-structured, with a good balance of theoretical and practical content. I appreciated the opportunity to work on assignments and projects that allowed me to apply my knowledge and skills to real-world scenarios. One area where the course really excelled was in its coverage of the emotional aspects of music - I found the lectures on music psychology and emotion recognition to be particularly fascinating. Overall, I would recommend this course to anyone looking to gain a deeper understanding of machine learning and its applications in music emotion recognition. It's a great course that's well worth the investment of time and effort.





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Recently updated!

April 2026