We have applied two state-of-the-art speech synthesis techniques (unit selection and HMM-based synthesis) to the synthesis of emotional speech. A series of carefully designed perceptual tests to evaluate speech quality, emotion identification rates and emotional strength were used for the six emotions which we recorded – happiness, sadness, anger, surprise, fear, disgust. For the HMM-based meth...

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...

Emotion mismatch between training and testing will cause system performance decline sharply which is emotional speaker recognition. It is an important idea to solve this problem according to the emotion normalization of test speech. This method proceeds from analysis of the differences between every kind of emotional speech and neutral speech. Besides, it takes the baseband mismatch of emotiona...

Speech processing is the study of speech signals, and the methods used to process them. In application such as speech coding, speech synthesis, speech recognition and speaker recognition technology, speech processing is employed. In speech classification, the computation of prosody effects from speech signals plays a major role. In emotional speech signals pitch and frequency is a most importan...

Facial expression is one of the most expressive ways for human beings to deliver their emotion, intention, and other nonverbal messages in face to face communications. In this chapter, a layered parametric framework is proposed to synthesize the emotional facial expressions for an MPEG4 compliant talking avatar based on the three dimensional PAD model, including pleasure-displeasure, arousal-no...

The ability to accurately perceive emotions is crucial for effective social interaction. Many questions remain regarding how different sources of emotional cues in speech (e.g., prosody, semantic information) are processed during emotional communication. Using a cross-modal emotional priming paradigm (Facial affect decision task), we compared the relative contributions of processing utterances ...

The detection and modelling of emotions in speech remains a challenging issue in speech processing. The aim of the study presented here is to analyze and compare the use of several prosodic parameters in emotional speech in French. The data set used for the study contains utterances recorded in six emotional types: anger, fear, sadness, disgust, surprise and joy. The sentences of the emotional ...