Music recommendation based on acoustic features from the recording studio

Tim Ziemer; Pattararat Kiattipadungkul; Tanyarin Karuchit

doi:10.1121/1.5147484

Music recommendation based on acoustic features from the recording studio

The Journal of the Acoustical Society of America ◽

10.1121/1.5147484 ◽

2020 ◽

Vol 148 (4) ◽

pp. 2701-2701

Author(s):

Tim Ziemer ◽

Pattararat Kiattipadungkul ◽

Tanyarin Karuchit

Keyword(s):

Music Recommendation ◽

Acoustic Features ◽

Recording Studio

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A Music Recommendation System Based on Acoustic Features and User Personalities

Lecture Notes in Computer Science - Trends and Applications in Knowledge Discovery and Data Mining ◽

10.1007/978-3-319-42996-0_17 ◽

2016 ◽

pp. 203-213 ◽

Cited By ~ 4

Author(s):

Rui Cheng ◽

Boyang Tang

Keyword(s):

Recommendation System ◽

Music Recommendation ◽

Acoustic Features ◽

Music Recommendation System

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Music Recommendation Based on Acoustic Features and User Access Patterns

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2009.2020893 ◽

2009 ◽

Vol 17 (8) ◽

pp. 1602-1611 ◽

Cited By ~ 39

Author(s):

Bo Shao ◽

M. Ogihara ◽

Dingding Wang ◽

Tao Li

Keyword(s):

Music Recommendation ◽

Acoustic Features ◽

User Access ◽

Access Patterns

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[Paper] Deep Reinforcement Learning-based Music Recommendation with Knowledge Graph Using Acoustic Features

ITE Transactions on Media Technology and Applications ◽

10.3169/mta.10.8 ◽

2022 ◽

Vol 10 (1) ◽

pp. 8-17

Author(s):

Keigo Sakurai ◽

Ren Togo ◽

Takahiro Ogawa ◽

Miki Haseyama

Keyword(s):

Reinforcement Learning ◽

Knowledge Graph ◽

Music Recommendation ◽

Acoustic Features

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Acoustic features from the recording studio for Music Information Retrieval Tasks

10.1121/2.0001363 ◽

2020 ◽

Author(s):

Tim Ziemer ◽

Pattararat Kiattipadungkul ◽

Tanyarin Karuchit

Keyword(s):

Information Retrieval ◽

Music Information Retrieval ◽

Acoustic Features ◽

Recording Studio ◽

Music Information

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Supplemental Material for The Expression and Recognition of Emotions in the Voice Across Five Nations: A Lens Model Analysis Based on Acoustic Features

Journal of Personality and Social Psychology ◽

10.1037/pspi0000066.supp ◽

2016 ◽

Keyword(s):

Model Analysis ◽

Lens Model ◽

Acoustic Features ◽

Recognition Of Emotions ◽

The Voice

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12 detection using acoustic features and one class classifiers

10.32469/10355/9744 ◽

2009 ◽

Author(s):

Abhishek Mahnot

Keyword(s):

Acoustic Features

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Combining acoustic features and medical data in deep learning networks for voice pathology classification

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287333 ◽

2021 ◽

Author(s):

Ioanna Miliaresi ◽

Kyriakos Poutos ◽

Aggelos Pikrakis

Keyword(s):

Deep Learning ◽

Medical Data ◽

Learning Networks ◽

Acoustic Features ◽

Pathology Classification

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Hybrid Music Recommendation System Using Content-based Filtering and K-Mean Clustering Algorithm

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i7.14981501 ◽

2018 ◽

Vol 6 (7) ◽

pp. 1498-1501

Author(s):

Karishma Mandloi ◽

Amit Mittal

Keyword(s):

Clustering Algorithm ◽

Recommendation System ◽

Music Recommendation ◽

Content Based Filtering ◽

Music Recommendation System

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Deep Learning Methodology for Recognition of Emotions using Acoustic features

International Journal of Pharmaceutical Research ◽

10.31838/ijpr/2020.12.04.462 ◽

2020 ◽

Vol 12 (04) ◽

Keyword(s):

Deep Learning ◽

Acoustic Features ◽

Recognition Of Emotions

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Use of Global and Acoustic Features Associated with Contextual Factors to Adapt Language Models for Spontaneous Speech Recognition

10.21437/interspeech.2017-717 ◽

2017 ◽

Cited By ~ 3

Author(s):

Shohei Toyama ◽

Daisuke Saito ◽

Nobuaki Minematsu

Keyword(s):

Speech Recognition ◽

Contextual Factors ◽

Spontaneous Speech ◽

Language Models ◽

Acoustic Features

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