this paper reports on a behavioral study that explores the role of culture and gender in the recognition of emotional speech in an under investigated cultural context (a collectivist society: i.e., iran). participants were asked to recognize the emotional prosody of a set of validated emotional vocal portrayals (including the five basic emotions). findings of the experiment were then compared w...

The most successful methods to induce emotions on state of the art unit selection speech synthesis have been built by switching speech database depending on the desired emotion. These methods require a substantial increase of memory compared to a single database and are computationally slow. The model-based approach is an attempt to reshape a neutrally recorded utterance (comparable to the desi...

This paper introduces a first approach to emotion recognition using RAMSES, the UPC’s speech recognition system. The approach is based on standard speech recognition technology using hidden semi-continuous Markov models. Both the selection of low level features and the design of the recognition system are addressed. Results are given on speaker dependent emotion recognition using the Spanish co...

We present the first child emotional speech corpus in Russian, called “EmoChildRu”, which contains audio materials of 3-7 year old kids. The database includes over 20K recordings (approx. 30 hours), collected from 100 children. Recordings were carried out in three controlled settings by creating different emotional states for children: playing with a standard set of toys; repetition of words fr...

This paper describes a database of affective (emotional) utterances for the Russian language. The database contains recordings of 61 speakers (12 male and 49 female) who pronounce ten sentences neutrally (unemotionally) and expressing the following five emotional states: surprise, happiness, anger, sadness and fear. The database is constructed as a material source for linguistic and speech proc...

Gibberish speech consists of vocalizations of meaningless strings of speech sounds. It is sometimes used by performing artists or by cartoon animations (e.g.: Teletubbies) to express intended emotions, without pronouncing any actually understandable word. The facts that no understandable text has to be pronounced and that only affect is conveyed create the advantage of gibberish in affective co...

Theories without Heart p. 5 Prosodic Characteristics and Emotional Meanings of Slovak Hot-Spot Words p. 18 Affiliations, Emotion and the Mobile Phone p. 28 Polish Emotional Speech Database Recording and Preliminary Validation p. 42 Towards a Framework of Critical Multimodal Analysis: Emotion in a Film Trailer p. 50 Biosignal Based Emotion Analysis of Human-Agent Interactions p. 63 Emotional Asp...

Recently, increasing attention has been directed to the study of the speech emotion recognition, in which global acoustic features of an utterance are mostly used to eliminate the content differences. However, the expression of speech emotion is a dynamic process, which is reflected through dynamic durations, energies, and some other prosodic information when one speaks. In this paper, a novel ...

To date, little research has been done in emotion classification and recognition in speech. Therefore, there is a need to discuss why this topic is interesting and present a system for classifying and recognizing emotions through speech using neural networks through this article. The proposed system will be speaker independent since a database of speech samples will be used. Various classifiers...

We report on a web-based tool for assessing the interpretation degree of the common listeners of the SRoL emotional speech and, separately, tone database for short sentences, in the Romanian language. We designed the tool for allowing us a statistical characterization of the interpretation degree of common, anonymous listeners of the emotional state and tone that characterize the recorded utter...