A review on emotion recognition using speech
Emotion recognition or affect detection from speech is an old and challenging problem in the
field of artificial intelligence. Many significant research works have been done on emotion …
field of artificial intelligence. Many significant research works have been done on emotion …
The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions
Emotional voices attract considerable attention. A search on any browser using “emotional
prosody” as a key phrase leads to more than a million entries. Such interest is evident in the …
prosody” as a key phrase leads to more than a million entries. Such interest is evident in the …
Emotion recognition from speech using convolutional neural network with recurrent neural network architecture
Recognition of emotion is always a difficult problem, particularly if the recognition of emotion
is done by using speech signal. Many significant research works have been done on …
is done by using speech signal. Many significant research works have been done on …
Speech emotion recognition research: an analysis of research focus
This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …
order to identify the current focus of research, and areas in which research is lacking. The …
Expressing reactive emotion based on multimodal emotion recognition for natural conversation in human–robot interaction
Human–human interaction consists of various nonverbal behaviors that are often emotion-
related. To establish rapport, it is essential that the listener respond to reactive emotion in a …
related. To establish rapport, it is essential that the listener respond to reactive emotion in a …
Multiscale amplitude feature and significance of enhanced vocal tract information for emotion classification
In this paper, a novel multiscale amplitude feature is proposed using multiresolution analysis
(MRA) and the significance of the vocal tract is investigated for emotion classification from …
(MRA) and the significance of the vocal tract is investigated for emotion classification from …
Meta-learning for low-resource speech emotion recognition
While emotion recognition is a well-studied task, it remains unexplored to a large extent in
cross-lingual settings. Speech Emotion Recognition (SER) in low-resource languages poses …
cross-lingual settings. Speech Emotion Recognition (SER) in low-resource languages poses …
Toward language-agnostic speech emotion recognition
S Ntalampiras - Journal of the Audio Engineering Society, 2020 - aes.org
Interestingly, several researchers have employed generative modeling methods for SER.
The usage of Gaussian mixture modeling (GMM) with a universal background model was …
The usage of Gaussian mixture modeling (GMM) with a universal background model was …
Similarity of speech emotion in different languages revealed by a neural network with attention
In this study, we try to recognize the similarities between different languages in expressing
basic human emotions by cross/multi-language corpus training of a novel recognition model …
basic human emotions by cross/multi-language corpus training of a novel recognition model …
Toward affective speech-to-speech translation: Strategy for emotional speech recognition and synthesis in multiple languages
Speech-to-speech translation (S2ST) is the process by which a spoken utterance in one
language is used to produce a spoken output in another language. The conventional …
language is used to produce a spoken output in another language. The conventional …