It has become popular for people to share their opinions about products on TikTok and YouTube. Automatic sentiment extraction a particular product can assist users in making buying decisions. For videos languages such as Spanish, the tone of voice be used determine sentiments, since translation is often unknown. In this paper, we propose novel algorithm classify sentiments speech presence envir...

Speech Emotion Recognition is a present topic of the research since it has wide range application. SER vital part effective human interaction in speech processing. recognition domain that growing rapidly recent years. Unlike humans, machines deficit potential to perceive and express emotions. But improvisation human-computer can be done by automated thereby turn down need mediation time. The pr...

The variations of speech parameters due to emotion or stress are noticeable. In the presence of such variations, if a neutral model is used for the system, the speech recognition accuracy deteriorates. The evaluation of how emotion influences speech parameters is the first step towards emotional speech recognition. Pitch frequency is an important parameter in speech processing systems. Therefor...

Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech processing is useful for carrying out further research. In this paper, the recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and mo...

Machine-based emotional intelligence is a requirement for more natural interaction between humans and computer interfaces and a basic level of accurate emotion perception is needed for computer systems to respond adequately to human emotion. Humans convey emotional information both intentionally and unintentionally via speech patterns. These vocal patterns are perceived and understood by listen...

Speech emotion recognition is becoming more and more important in such computer application fields as health care, children education, etc. In order to improve the prediction performance or providing faster and more cost-effective recognition system, an attribute selection is often carried out beforehand to select the important attributes from the input attribute sets. However, it is time-consu...

This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can convey complementary evidence to the information extracted by classifiers based on spectral, or other non-linguistic features. As speech-to-text usually presents significantly more computational effort, in this study we...