This paper introduces the speech emotion corpus, a multilingual speech emotion database recorded in the provincial languages of Pakistan: Urdu, Punjabi, Pashto and Sindhi for analyzing the speech emotions present in the recorded speech signals with the four different emotions (Anger, Sadness, Comfort and Happiness). The objective of this paper is to evaluate the performance of the learning clas...

In speech recognition and emotion recognition from speech, qualitatively high transcription and annotation of given material is important. To analyse prosodic features, linguistics provides several transcription systems. Furthermore, in emotion labelling different methods are proposed and discussed. In this paper, we introduce the tool ikannotate, which combines prosodic information with emotio...

In this paper, we propose a method for automatically detecting deceptive speech by relying on predicted scores derived from emotion dimensions such as arousal, valence, regulation, and emotion categories. The scores are derived from task-dependent models trained on the GEMEP emotional speech database. Inputs from the INTERSPEECH 2016 Computational Paralinguistics Deception sub-challenge are pro...

Representing emotional expressions in text-to-speech synthesis is an interesting subject. The ultimate purpose of our research is to develop an automatic reading system which reads text aloud such as novels with emotion. Our strategy for constructing the system is that we classify the emotion of a text in perspective based on the distribution of emotional words, and classify the emotion of a se...

This study examines whether emotion conveyed in recorded and synthesized voices affects perceptions of emotional valence of content, suitability of content, liking of content, and credibility of content. The research also compares recorded and synthesized speech. Participants heard two news stories, two movie descriptions and two health stories in a 2 (type of speech: recorded vs. synthesized) ...

Emotional speech analysis was normally conducted from the viewpoint of prosody and articulation features. But for emotional speech synthesis system, two issues appear most important: (1) how to realize the acoustic features among various emotion states? (2) how to convey the emotion with the combination of text analysis and environment detection. To answer the two questions, both acoustic featu...

Through the analysis of one-vs.-one, one-vs.-rest and the decision tree mechanism of binary support vector machine emotion classifiers, a method based on feature-driven hierarchical support vector machine is proposed for speech emotion recognition. For each layer, classifier used different feature parameters to drive its performance, and each emotion is subdivided layer by layer. This method di...

This study examines whether emotion conveyed in recorded and synthesized voices affects perceptions of emotional valence of content, perceptions of suitability of content, liking of content, and credibility of content as well as whether recorded or synthesized speech influences perceptions differently. Participants heard two news stories, two movie descriptions and two health stories in a 2 (ty...

In this paper, we merge speech act theory, emotion theory, and logic. We propose a modal logic that integrates the concepts of belief, goal, ideal and responsibility and that allows to describe what a given agent expresses in the context of a conversation with another agent. We use the logic in order to provide a systematic analysis of expressive speech acts, that is, speech acts that are aimed...

Recent years have seen increasing efforts to improve speech technology tools such as speaker verification, speech recognition, and speech synthesis by taking voice and speech variations due to speaker emotion or attitudes into account. Given the global marketing of speech technology products, it is of vital importance to establish whether the vocal changes produced by emotional and attitudinal ...