Journal ArticleDOI
Emotion recognition from speech: a review
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TLDR
The recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and models used for recognition of emotions from speech.Abstract:
Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech processing is useful for carrying out further research. In this paper, the recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and models used for recognition of emotions from speech. Thirty two representative speech databases are reviewed in this work from point of view of their language, number of speakers, number of emotions, and purpose of collection. The issues related to emotional speech databases used in emotional speech recognition are also briefly discussed. Literature on different features used in the task of emotion recognition from speech is presented. The importance of choosing different classification models has been discussed along with the review. The important issues to be considered for further emotion recognition research in general and in specific to the Indian context have been highlighted where ever necessary.read more
Citations
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Proceedings ArticleDOI
Automatic speech emotion recognition using recurrent neural networks with local attention
TL;DR: This work studies the use of deep learning to automatically discover emotionally relevant features from speech and proposes a novel strategy for feature pooling over time which uses local attention in order to focus on specific regions of a speech signal that are more emotionally salient.
Journal ArticleDOI
Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Mehmet Berkehan Akçay,Kaya Oguz +1 more
TL;DR: This work defines speech emotion recognition systems as a collection of methodologies that process and classify speech signals to detect the embedded emotions and identified and discussed distinct areas of SER.
Journal ArticleDOI
Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends
TL;DR: 20 years of progress in making machines hear the authors' emotions based on speech signal properties is traced, with a focus on artificial intelligence and machine learning.
Journal ArticleDOI
Speech Emotion Recognition Using Deep Learning Techniques: A Review
Ruhul Amin Khalil,Edward Jones,Mohammad Inayatullah Babar,Tariqullah Jan,Mohammad Haseeb Zafar,Thamer Alhussain +5 more
TL;DR: An overview of Deep Learning techniques is presented and some recent literature where these methods are utilized for speech-based emotion recognition is discussed, including databases used, emotions extracted, contributions made toward speech emotion recognition and limitations related to it.
Proceedings ArticleDOI
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms.
TL;DR: A new implementation of emotion recognition from the para-lingual information in the speech, based on a deep neural network, applied directly to spectrograms, achieves higher recognition accuracy compared to previously published results, while also limiting the latency.
References
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Book
Fundamentals of speech recognition
TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
Journal ArticleDOI
Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Proceedings ArticleDOI
A database of German emotional speech.
TL;DR: A database of emotional speech that was evaluated in a perception test regarding the recognisability of emotions and their naturalness and can be accessed by the public via the internet.
Journal ArticleDOI
Survey on speech emotion recognition: Features, classification schemes, and databases
TL;DR: A survey of speech emotion classification addressing three important aspects of the design of a speech emotion recognition system, the choice of suitable features for speech representation, and the proper preparation of an emotional speech database for evaluating system performance are addressed.
Journal ArticleDOI
Vocal communication of emotion: a review of research paradigms
TL;DR: It is suggested to use the Brunswikian lens model as a base for research on the vocal communication of emotion, which allows one to model the complete process, including both encoding, transmission, and decoding of vocal emotion communication.