Little is known about the underlying dimensions of impaired recognition of emotional prosody that is frequently observed in patients with Parkinson's disease (PD). Because patients with PD also suffer from working memory deficits and impaired time perception, the present study examined the contribution of (a) working memory (frontal executive functioning) and (b) processing of the acoustic para...

Acknowledgements The authors wish to thank Denise Scheermann for recruiting participants and conducting the measurements, as well as all the participants of this study for their motivation. Abstract Emotional speech comprises of complex multimodal verbal and non-verbal information that allows deducting others' emotional states or thoughts in social interactions. While the neural correlates of v...

This paper presents an approach to emotion recognition from speech signals and textual content. In the analysis of speech signals, thirty-three acoustic features are extracted from the speech input. After Principle Component Analysis (PCA) is performed, 14 principle components are selected for discriminative representation. In this representation, each principle component is the combination of ...

This paper aims to give a brief overview of the current state of the art in emotional speech synthesis in view of a multi-modal context. After a brief introduction into the concept of text-to-speech synthesis, two approaches to the expression of emotions in speech synthesis are described. The categorical approach models emotions as discrete categories and is able to provide high-quality emotion...

An approach for the recognition of emotions in speech is presented. The target language is Mexican Spanish, and for this purpose a speech database was created. The approach consists in the phoneme acoustic modelling of emotion-specific vowels. For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs wer...

This paper presents a spectral transformation method for emotional speech synthesis based on voice conversion framework. Three emotions are studied, including anger, happiness and sadness. For the sake of high naturalness, superior speech quality and emotion expressiveness, our original STASC system is modified by introducing a new feature selection strategy and hierarchical codebook mapping pr...

Emotion in speech is an issue that has been attracting the interest of the speech community for many years, both in the context of speech synthesis as well as in automatic speech recognition (ASR). In spite of the remarkable recent progress in Large Vocabulary Recognition (LVR), it is still far behind the ultimate goal of recognising free conversational speech uttered by any speaker in any envi...

A series of perceptual experiments using morphed emotional speech sounds was conducted. A high-quality speech modification procedure STRAIGHT [1] extended to enable auditory morphing[2] was used for providing CD quality test stimuli. The test results indicated that naturalness of morphed speech samples were comparable to natural speech samples and resynthesized samples without any modifications...