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A Tutorial on Deep Learning for Music Information Retrieval

A Tutorial on Deep Learning for Music Information Retrieval

13 September 2017
Keunwoo Choi
Gyorgy Fazekas
Kyunghyun Cho
Mark Sandler
    VLM
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Papers citing "A Tutorial on Deep Learning for Music Information Retrieval"

8 / 8 papers shown
Title
Audio Denoising for Robust Audio Fingerprinting
Audio Denoising for Robust Audio Fingerprinting
Kamil Akesbi
21
3
0
21 Dec 2022
What all do audio transformer models hear? Probing Acoustic
  Representations for Language Delivery and its Structure
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
Jui Shah
Yaman Kumar Singla
Changyou Chen
R. Shah
25
81
0
02 Jan 2021
Deep generative models for musical audio synthesis
Deep generative models for musical audio synthesis
M. Huzaifah
L. Wyse
19
20
0
10 Jun 2020
How Low Can You Go? Reducing Frequency and Time Resolution in Current
  CNN Architectures for Music Auto-tagging
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging
Andrés Ferraro
Dmitry Bogdanov
Xavier Serra
Jay Ho Jeon
Jason Yoon
8
3
0
12 Nov 2019
Exploiting Synchronized Lyrics And Vocal Features For Music Emotion
  Detection
Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection
Loreto Parisi
Simone Francia
Silvio Olivastri
Maria Stella Tavella
18
11
0
15 Jan 2019
Pop Music Highlighter: Marking the Emotion Keypoints
Pop Music Highlighter: Marking the Emotion Keypoints
Yu-Siang Huang
Szu-Yu Chou
Yi-Hsuan Yang
13
16
0
28 Feb 2018
A Comparison of Audio Signal Preprocessing Methods for Deep Neural
  Networks on Music Tagging
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
Keunwoo Choi
Gyorgy Fazekas
Kyunghyun Cho
Mark Sandler
20
63
0
06 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot
Gaëtan Hadjeres
F. Pachet
MGen
32
297
0
05 Sep 2017
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