Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

Speech is one of the most opulent and instant methods to express emotional characteristics of human beings, which conveys the cognitive and semantic concepts among humans. In this study, a statistical-based method for emotional recognition of speech signals is proposed, and a learning approach is introduced, which is based on the statistical model to classify internal feelings of the utterance....

As a part of the IST project Interface ("Multimodal Analysis/Synthesis System for Human Interaction to Virtual and Augmented environments"), an emotional speech database for Slovenian, English, Spanish, and French language has been recorded. The database is designed for general study of emotional speech as well as analysis of emotion characteristics for speech synthesis and for automatic emotio...

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

We analyze two German databases: the OLLO database [1] designed for doing speech recognition experiments on speech variabilities, and the Berlin emotional database [2] designed for the analysis and synthesis of emotional speech. The paper tries to find a relation between intrinsic speech variabilities and the emotions. Moreover, we study this relation from the point of view of speech recognitio...

The research work describes the procedure and the development of Isolated Marathi Emotional Speech Database. The database consists of samples, collected from 50 speakers including males and females who simulated the emotions producing by the Marathi utterances which are used in everyday communication and are interpretable in all applied emotions. The speech samples were enhanced by spectral sub...

Synthesizing emotional speech by means of conversion from neutral speech allows us to generate emotional speech from many existing Text-to-Speech (TTS) systems. How much of the target emotion can be portrayed by the generated speech is largely dependent on the emotion data used to train the mapping function for voice transformation. In this paper, we introduce a method to pre-process the emotio...