Classifying emotions in speech: a comparison of methods

Noam Amir · Ori Kerret · Dimitry Karlinski

64 citations0/0 files storedEuropean Conference on Speech Communication and Technology (Eurospeech)

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Emotion and Mood Recognition Speech Recognition and Synthesis Speech and Audio Processing

Abstract

A number of recent studies have attempted classification of emotional speech using various methods. In this paper we compare the performance of two algorithms: a classification algorithm based on euclidean distances, and a classification algorithm based on the use of neural networks. Both perform the classification using an identical feature set, on a database of emotional speech which has been validated through subjective listening tests.

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References

2002Recognizing emotion in speech 2000A new emotion database: considerations, sources and scope 2000Emotion-sensitive human-computer interfaces 1998Recognizing emotions in speech using short-term and long-term features

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2016A Real-Time Speech Emotion Recognition System and its Application in Online Learning 2003Context-Independent Multilingual Emotion Recognition from Speech Signals 2007Acoustic Features Extraction for Emotion Recognition

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