This paper proposes a novel method to transplant emotions to a new speaker in statistical speech synthesis based on an emotion additive model (EAM), which represents the differences between emotional and neutral voices. This method trains EAM using neutral and emotional speech data of multiple speakers and applies it to a neutral voice model of a new speaker (target). There is some degradation ...

With the increase in the computing capabilities of the microprocessors it has now become possible to do real time computations on speech signals and images, so automatic emotion recognition through speech signals has become an important area of research. In this paper we have discussed the methods of extracting emotional features from a regular speech signals. Index Terms —Emotional feature; fe...

OBJECTIVES Children who use cochlear implants (CIs) have characteristic pitch processing deficits leading to impairments in music perception and in understanding emotional intention in spoken language. Music training for normal-hearing children has previously been shown to benefit perception of emotional prosody. The purpose of the present study was to assess whether deaf children who use CIs o...

When people communicate, their states of mind are coupled with the explicit content of the messages being transmitted. The implicit information conveyed by mental states is essential to correctly understand and frame the communication messages. In mediation, professional mediators include empathy as a fundamental skill when dealing with the relational and emotional aspects of a case. In court e...

There have been many attempts to discuss the evolutionary origins of music. We review theories of music origins and take the perspective that music is originally derived from emotional signals. We show that music has adaptive value through emotional contagion, social cohesion, and improved well-being. We trace the roots of music through the emotional signals of other species suggesting that the...

This paper presents our investigations on emotional state categorization from speech signals with a psychologically inspired computational model against human performance under the same experimental setup. Based on psychological studies, we propose a multistage categorization strategy which allows establishing an automatic categorization model flexibly for a given emotional speech categorizatio...

The human speech signal contains a wide range of paralinguistic information and the interpretation and exploitation of this information presents a fascinating challenge. This paper seeks to demonstrate that emotion is central to the construction of an openended dialogue system. Emotion forms a useful, practical, metric that enables a agent to both maintain a user’s positive emotional state and ...

This contribution describes experiments with emotional style conversion performed on the utterances produced by the Czech and Slovak textto-speech (TTS) system with cepstral description and basic prosody generated by rules. Emotional style conversion was realized as post-processing of the TTS output speech signal, and as a real-time implementation into the system. Emotional style prototypes rep...

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...