Emotion and themes recognition in music with convolutional and recurrent attention-blocks

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: MediaEval 2020 - Multimedia Benchmark Workshop 2020: Workshop Notes, Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020, S. 60-

Bibliographic citation: CEUR Workshop Proceedings ; 2882

Classification: Musik

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2020

Event: Veröffentlichung

(where): Aachen

(who): RWTH Aachen University

(when): 2020

Creator: Gerczuk, Maurice
Amiriparian, Shahin
Ottl, Sandra
Tirunellai Rajamani, Srividya
Schuller, Björn

Contributor: Hicks, Steven
Jha, Debesh
Pogorelov, Konstantin
García Seco De Herrera, Alba
Bogdanov, Dmitry
Martin, Pierre-Etienne
Andreadis, Stelios
Dao, Minh-Son
Liu, Zhuoran
Vargas-Quirós, José
Kille, Benjamin
Larson, Martha

URN: urn:nbn:de:bvb:384-opus4-1169655

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:36 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Gerczuk, Maurice
Amiriparian, Shahin
Ottl, Sandra
Tirunellai Rajamani, Srividya
Schuller, Björn
Hicks, Steven
Jha, Debesh
Pogorelov, Konstantin
García Seco De Herrera, Alba
Bogdanov, Dmitry
Martin, Pierre-Etienne
Andreadis, Stelios
Dao, Minh-Son
Liu, Zhuoran
Vargas-Quirós, José
Kille, Benjamin
Larson, Martha
Universität Augsburg
RWTH Aachen University

Time of origin

2020

Other Objects (12)

Hochschulschrift

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Hochschulschrift

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Hochschulschrift

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Hochschulschrift

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Hochschulschrift

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Hochschulschrift

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Emotion and themes recognition in music with convolutional and recurrent attention-blocks

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Automatische Emotionserkennung aus sprachlicher und manueller Interaktion

Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition

Deep convolutional recurrent neural network for rare acoustic event detection

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Convolutional RNN: an enhanced model for extracting features from sequential data

Exploring spatial-temporal representations for fNIRS-based intimacy detection via an attention-enhanced cascade convolutional recurrent neural network

Intelligent audio analysis

Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion

Attention-based convolutional neural networks for acoustic scene classification

Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition

Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

Deep recurrent neural networks for emotion recognition in speech

Related objects

Reset password