A spontaneous mental state, emotion does not result from deliberate effort. There are many
different kinds of emotions in a speech. Because it enhances interactions between people …

There are a variety of temporal and spectral features that can be extracted from human
speech. These features are related to the pitch, Mel Frequency Cepstral Coefficients …

This paper explore on emotion recognition from Marathi speech signals by using feature
extraction techniques and classifier to classify Marathi speech utterances according to their …

Recognizing emotions from speech is a tuff task as we are not aware of the features which
will accurately classify the emotions. This paper is an approach to show which speech …

In this research work, we have presented a machine learning strategy for Bengali speech
emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as …

Automatic recognition of emotions from speech by machines has been one of the most
challenging areas of research in the field of human machine interaction. Automatic emotion …

Language intelligence, the speaker's emotional condition etc. are communicated through
human speech. Emotions have the power to change the meaning and context of delivered …

Emotion recognition from acoustic signals plays a vital role in the field of audio and speech
processing. Speech interfaces offer humans an informal and comfortable means to …

Recognizing emotions from speech using machine learning algorithms has become an
active research topic lately as a result of the demand for more human interactive …

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 …