On-line continuous-time music mood regression with deep recurrent neural networks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-9 May 2014, Florence, Italy, S. 5412-5416
- Classification
-
Musik
- Event
-
Veröffentlichung
- (where)
-
Augsburg, Piscataway, NJ
- (who)
-
Universität Augsburg, IEEE
- (when)
-
2014
- Creator
- DOI
-
10.1109/icassp.2014.6854637
- URN
-
urn:nbn:de:bvb:384-opus4-725773
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:53 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Weninger, Felix
- Eyben, Florian
- Schuller, Björn
- Universität Augsburg, IEEE
Time of origin
- 2014
Other Objects (12)
Single-channel speech separation with memory-enhanced recurrent neural networks
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
Likability of human voices: a feature analysis and a neural network regression approach to automatic likability estimation
Computational assessment of interest in speech - facing the real-life challenge
Real-time speech separation by semi-supervised nonnegative matrix factorization
Combining monaural source separation with long short-term memory for increased robustness in vocalist gender recognition
Affective video retrieval: violence detection in hollywood movies by large-scale segmental feature extraction
On the acoustics of emotion in audio: what speech, music, and sound have in common
Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music
Medium-term speaker states: a review on intoxication, sleepiness and the first challenge
A paralinguistic approach to speaker diarisation: using age, gender, voice likability and personality traits
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Single-channel speech separation with memory-enhanced recurrent neural networks
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
Likability of human voices: a feature analysis and a neural network regression approach to automatic likability estimation
Computational assessment of interest in speech - facing the real-life challenge
Real-time speech separation by semi-supervised nonnegative matrix factorization
Combining monaural source separation with long short-term memory for increased robustness in vocalist gender recognition
Affective video retrieval: violence detection in hollywood movies by large-scale segmental feature extraction
On the acoustics of emotion in audio: what speech, music, and sound have in common
Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music
Medium-term speaker states: a review on intoxication, sleepiness and the first challenge
A paralinguistic approach to speaker diarisation: using age, gender, voice likability and personality traits
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Single-channel speech separation with memory-enhanced recurrent neural networks
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
Likability of human voices: a feature analysis and a neural network regression approach to automatic likability estimation
Computational assessment of interest in speech - facing the real-life challenge
Real-time speech separation by semi-supervised nonnegative matrix factorization
Combining monaural source separation with long short-term memory for increased robustness in vocalist gender recognition
Affective video retrieval: violence detection in hollywood movies by large-scale segmental feature extraction
On the acoustics of emotion in audio: what speech, music, and sound have in common
Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music
Medium-term speaker states: a review on intoxication, sleepiness and the first challenge
A paralinguistic approach to speaker diarisation: using age, gender, voice likability and personality traits