Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …
extend this communication medium to computer applications. We define speech emotion …
[HTML][HTML] Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion
Speech emotion recognition (SER) is traditionally performed using merely acoustic
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …
The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing
Work on voice sciences over recent decades has led to a proliferation of acoustic
parameters that are used quite selectively and are not always extracted in a similar fashion …
parameters that are used quite selectively and are not always extracted in a similar fashion …
Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings
The lack of a large, natural emotional database is one of the key barriers to translate results
on speech emotion recognition in controlled conditions into real-life applications. Collecting …
on speech emotion recognition in controlled conditions into real-life applications. Collecting …
MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception
C Busso, S Parthasarathy, A Burmania… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is
to have control over lexical content and emotion while also promoting naturalness in the …
to have control over lexical content and emotion while also promoting naturalness in the …
Speech emotion recognition using Fourier parameters
Recently, studies have been performed on harmony features for speech emotion
recognition. It is found in our study that the first-and second-order differences of harmony …
recognition. It is found in our study that the first-and second-order differences of harmony …
IEMOCAP: Interactive emotional dyadic motion capture database
Since emotions are expressed through a combination of verbal and non-verbal channels, a
joint analysis of speech and gestures is required to understand expressive human …
joint analysis of speech and gestures is required to understand expressive human …
A novel feature selection method for speech emotion recognition
T Özseven - Applied Acoustics, 2019 - Elsevier
Speech emotion recognition involves analyzing vocal changes caused by emotions with
acoustic analysis and determining the features to be used for emotion recognition. The …
acoustic analysis and determining the features to be used for emotion recognition. The …
A novel approach for classification of speech emotions based on deep and acoustic features
MB Er - IEEE Access, 2020 - ieeexplore.ieee.org
The problem of recognition and classification of emotions in speech is one of the most
prominent research topics, that has gained popularity, in human-computer interaction in the …
prominent research topics, that has gained popularity, in human-computer interaction in the …
Speech emotion recognition: a comprehensive survey
MJ Al-Dujaili, A Ebrahimi-Moghadam - Wireless Personal Communications, 2023 - Springer
Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …
he plays that plays an essential role in human interaction. Emotions are a king of speech …