In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition. First, we extract the basic speech features including pitch frequency, formant frequency and short-term intensity. Based on the low level descriptor we further construct the statistic features including maximum, minimum,...

Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of domains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature...

Emotions are essential in developing interpersonal relationships. make emphasizing with others’ problems easy and leads to better communication without misunderstandings. Humans possess the natural ability of understanding emotions from their speech, hand gestures, facial expressions etc react accordingly but, it is impossible for machines extract understand unless they trained do so. Speech Em...

Recently, increasing attention has been directed to the study of the emotional content of speech signals, and hence, many systems have been proposed to identify the emotional content of a spoken utterance. This paper is a survey of speech emotion classification addressing three important aspects of the design of a speech emotion recognition system. The first one is the choice of suitable featur...

Spoken dialog systems (SDS) integrated into human-machine interaction interfaces is becoming a standard technology. Current state-of-the-art SDS, usually, is not able to provide for the user a natural way of communication. Existing automated dialog systems do not dedicate enough attention to problems in the interaction related to affected user behavior. As a result, Automatic Speech Recognition...

In this paper, we describe emotion recognition experiments car­ ried out for spontaneous affective speech with the aim to com­ pare the added value of annotation of felt emotion versus an­ notation of perceived emotion. Using speech material avail­ able in the TNO-GAMING corpus (a corpus containing audio­ visual recordings of people playing videogames), speech-based affect recognizers were deve...

The psychological classification of emotion has two main approaches. One is emotion category, in which emotions are classified into discrete and fundamental groups; the other is emotion dimension, in which emotions are characterized by multiple continuous scales. The cognitive classification of emotion by humans perceived from speech is not sufficiently established. Although there have been sev...

Artificial Intelligence (AI) based Speech Emotion Recognition (SER) has been widely used in the consumer field for control of smart home personal assistants, with many such devices on market. However, increase computational power, connectivity, and need to enable people live longer though use technology, then assistants that could detect human emotion will improve communication between a user a...

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 ...

In this preliminary report we investigate the effects of emotion on the lower lip movements during the production of a monosyllabic word in two different prosodic contexts: phrase initial and phrase final. The purpose is to examine the rigidity of the phrase boundary effects under emotional perturbation of the normal, or neutral, speech production. It is found that the effect of emotion is ubiq...