Numerous examinations are performed related to automatic emotion recognition and speech detection in the Laboratory of Speech Acoustics. This article reviews results achieved for automatic emotion recognition experiments on spontaneous speech databases on the base of the acoustical information only. Different acoustic parameters were compared for the acoustical preprocessing, and Support Vector...

Speaker and paralinguistic properties of dialogue speech that affect the timing at turn changes are investigated by analyzing the UU Database for Paralinguistic Information Studies. The results showed a large variation among speakers and a strong interaction with partner in pause/overlap duration. In addition, perceived emotional states of utterances had significant effects on the pause/overlap...

the aim of this paper is to report on an attempt to design and implement an intelligent system capable of generating the correct part of speech for a given sentence while the sentence is totally new to the system and not stored in any database available to the system. it follows the same steps a normal individual does to provide the correct parts of speech using a natural language processor. it...

fast and holistic access to the patients’ clinical record is a major requirement of modern medical decision support systems (dss). while electronic health records (ehrs) have replaced the traditional paper-based records in most healthcare organization, the data entry into these systems remains largely manual. speech recognition technology promises substitution of the more convenient speech-base...

In this work, we conducted an empirical comparative study of the performance text-independent speaker verification in emotional and stressful environments. This work combined deep models with shallow architecture, which resulted novel hybrid classifiers. Four distinct were utilized: neural network-hidden Markov model (DNN-HMM), network-Gaussian mixture (DNN-GMM), Gaussian model-deep network (GM...

It is well known that emotion recognition performance is not ideal. The work of this research is devoted to improving emotion recognition performance by employing a two-stage recognizer that combines and integrates gender recognizer and emotion recognizer into one system. Hidden Markov Models (HMMs) and Suprasegmental Hidden Markov Models (SPHMMs) have been used as classifiers in the two-stage ...

In this paper, we consider both speaker dependent and listener dependent aspects in the assessment of emotions in speech. We model the speaker dependencies in emotional speech production by two parameters which describe the individual’s emotional expression behavior. Similarly, we model the listener’s emotion perception behavior by a simple parametric model. These models form a basis for improv...

one of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. speech synthesis is granting human abilities to the computer for speech production. data-based approach and process-based approach are the two main approaches on speech synthesis. each approach has its varied challenges. unit-selection speech synthesis and statistical parametr...

The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 10 German utterances (5 short and 5 longer sentences) which could be used in everyday communication and are interpretable in all applied emotions. The recordings were taken in an anechoic chamber with high-quality recording equipment. In addition to the sound electro-glottogr...

This paper describes an emotional speech database recorded for standard Basque. The database has been designed with the twofold purpose of being used for corpus based synthesis, and also of allowing the study of prosodic models for the emotions. The database is thus large, to get good corpus based synthesis quality and contains the same texts recorded in the six basic emotions plus the neutral ...