[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 …
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …
speech has become a new field of research in line with its 'big brothers' speech and speaker …
Cross-corpus acoustic emotion recognition: Variances and strategies
As the recognition of emotion from speech has matured to a degree where it becomes
applicable in real-life settings, it is time for a realistic view on obtainable performances. Most …
applicable in real-life settings, it is time for a realistic view on obtainable performances. Most …
Featurehouse: Language-independent, automated software composition
Superimposition is a composition technique that has been applied successfully in many
areas of software development. Although superimposition is a general-purpose concept, it …
areas of software development. Although superimposition is a general-purpose concept, it …
Speech emotion recognition approaches in human computer interaction
S Ramakrishnan, IMM El Emary - Telecommunication Systems, 2013 - Springer
Abstract Speech Emotion Recognition (SER) represents one of the emerging fields in
human-computer interaction. Quality of the human-computer interface that mimics human …
human-computer interaction. Quality of the human-computer interface that mimics human …
Spoken emotion recognition using hierarchical classifiers
RESEARCH HIGHLIGHTS:▶ Characterization of emotions based on the acoustical and
prosodic features.▶ Emotional groups are founded in an unsupervised way (SOM) and …
prosodic features.▶ Emotional groups are founded in an unsupervised way (SOM) and …
Recognition of emotion from speech: A review
S Ramakrishnan - Speech Enhancement, Modeling and …, 2012 - books.google.com
Emotional speech recognition is an area of great interest for human-computer interaction.
The system must be able to recognize the user's emotion and perform the actions …
The system must be able to recognize the user's emotion and perform the actions …
Comparing biosignal and acoustic feature representation for continuous emotion recognition
Automatic recognition of human emotion has a wide range of applications. Human emotions
can be identified across different modalities, such as biosignal, speech, text, and mimics …
can be identified across different modalities, such as biosignal, speech, text, and mimics …
The role of phonetic units in speech emotion recognition
We propose a method for emotion recognition through emotiondependent speech
recognition using Wav2vec 2.0. Our method achieved a significant improvement over most …
recognition using Wav2vec 2.0. Our method achieved a significant improvement over most …
Continuous emotion recognition with phonetic syllables
As research on the extraction of acoustic properties of speech for emotion recognition
progresses, the need of investigating methods of feature extraction taking into account the …
progresses, the need of investigating methods of feature extraction taking into account the …