Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks
S Cunningham, H Ridley, J Weinel… - Personal and Ubiquitous …, 2021 - Springer
Abstract The field of Music Emotion Recognition has become and established research sub-
domain of Music Information Retrieval. Less attention has been directed towards the …
domain of Music Information Retrieval. Less attention has been directed towards the …
Stacked convolutional and recurrent neural networks for music emotion recognition
This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-
arousal (VA) emotional space. We propose a method based on convolutional (CNN) and …
arousal (VA) emotional space. We propose a method based on convolutional (CNN) and …
Emotional aspects and quality of experience for multifactor evaluation of audiovisual content
The present paper investigates multifactor audiovisual-content quality evaluation strategies,
in mediated communication. The primary aims of the work are to identify, describe and …
in mediated communication. The primary aims of the work are to identify, describe and …
Investigating the impact of sound angular position on the listener affective state
Emotion recognition from sound signals represents an emerging field of recent research.
Although many existing works focus on emotion recognition from music, there seems to be a …
Although many existing works focus on emotion recognition from music, there seems to be a …
A comparative analysis of modeling and predicting perceived and induced emotions in sonification
Sonification is the utilization of sounds to convey information about data or events. There are
two types of emotions associated with sounds:(1)“perceived” emotions, in which listeners …
two types of emotions associated with sounds:(1)“perceived” emotions, in which listeners …
Audio emotion recognition using machine learning to support sound design
S Cunningham, H Ridley, J Weinel… - Proceedings of the 14th …, 2019 - dl.acm.org
In recent years, the field of Music Emotion Recognition has become established. Less
attention has been directed towards the counterpart domain of Audio Emotion Recognition …
attention has been directed towards the counterpart domain of Audio Emotion Recognition …
On the Impact of Audio Characteristics to the Quality of Musicians' Experience in Network Music Performance
K Tsioutas, G Xylomenos - Journal of the Audio Engineering Society, 2021 - aes.org
Audio delay is a crucial factor in the Quality of Musicians' Experience (QoME) in Network
Music Performance. Previous studies have explored the tolerance of musicians to delay and …
Music Performance. Previous studies have explored the tolerance of musicians to delay and …
Emotional prediction and content profile estimation in evaluating audiovisual mediated communication
The present paper focuses on the extraction and evaluation of salient audiovisual features
for the prediction of the encoding requirements in audiovisual content. Recent research …
for the prediction of the encoding requirements in audiovisual content. Recent research …
Beads: A dataset of binaural emotionally annotated digital sounds
Emotion recognition from generalized sounds is an interdisciplinary and emerging field of
research. A vital requirement for this kind of investigations is the availability of ground truth …
research. A vital requirement for this kind of investigations is the availability of ground truth …
Emotional descriptors and quality of experience (QoE) metrics in evaluating mediated learning
The present paper focuses on the extraction and evaluation of salient audiovisual features
for the prediction of the encoding requirements in multimedia learning content. Decisions …
for the prediction of the encoding requirements in multimedia learning content. Decisions …