The present work studies the effect of emotional speech on a smarthome application. Specifically, we evaluate the recognition performance of the automatic speech recognition component of a smart-home dialogue system for various categories of emotional speech. The experimental results reveal that word recognition rate for emotional speech varies significantly across different emotion categories.

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

Emotion recognition, a key step of affective computing, is the process of decoding an embedded emotional message from human communication signals, e.g. visual, audio, and/or other physiological cues. It is well-known that speech is the main channel for human communication and thus vital in the signalling of emotion and semantic cues for the correct interpretation of contexts. In the verbal chan...

Due to the advance of speech technologies and their increasing usage in various applications, automatic recognition of emotions in speech represents one of the emerging fields in human-computer interaction. This paper deals with several topics related to automatic emotional speech recognition, most notably with the improvement of recognition accuracy by lowering the dimensionality of the featur...

This paper analysis the feature of the time amplitude pitch and formant construction involved such four emotions as happiness anger surprise and sorrow. Through comparison with non-emotional speech signal, we sum up the distribution law of emotional feature including different emotional speech. Nine emotional features were extracted from emotional speech for recognizing emotion. We introduce th...

Speech emotion can add extra information to speech in comparison with available textual information. However, it can also lead to some problems in the automatic speech recognition process. We evaluated the changes in speech parameters, i.e. formant frequencies and pitch frequency, due to anger and grief for Farsi language in a former research. Here, using those results, we try to improve emotio...

In this dissertation the practical speech emotion recognition technology is studied, including several cognitive related emotion types, namely fidgetiness, confidence and tiredness. The high quality of naturalistic emotional speech data is the basis of this research. The following techniques are used for inducing practical emotional speech: cognitive task, computer game, noise stimulation, slee...