Recognizing speakers in emotional conditions remains a challenging issue, since speaker states such as emotion affect the acoustic parameters used in typical speaker recognition systems. Thus, it is believed that knowledge of the current speaker emotion can improve speaker recognition in real life conditions. Conversely, speech emotion recognition still has to overcome several barriers before i...

We propose a simple method for modifying emotional speech sounds. The method aims at real-time implementation of an emotional expression transformation system based on STRAIGHT. We developed a mapping function of spectra, fundamental frequencies (F0), and vowel durations from the statistical analysis of 1500 expressive speech sounds in an emotional speech database. The spectral mapping paramete...

Recently recognition of emotions became very important in the field of speech and/or speaker recognition. This paper is dedicated to experimental investigation of best acoustic features obtained for purpose of gender-dependent speaker recognition from emotional speech. Four feature sets LPC (Linear Prediction Coefficients), LPCC (Linear Prediction Cepstral Coefficients), MFCC (Melfrequency Ceps...

The determination of an emotional state through speech increases the amount of information associated with a speaker. It is therefore important to be able to detect and identify a speaker's emotional state or state of stress. Various techniques are used in the literature to classify emotional/stressed states on the basis of speech, often using di erent speech feature vectors at the same time. T...

In this paper, we describe an approach to automatically synthesize the emotional speech of a target speaker based on the hidden Markov model for his/her neutral speech. The basic idea is the model interpolation between the neutral model of the target speaker and an emotional model selected from a candidate pool. Both the interpolation model selection and the interpolation weight computation are...

Speech can be described as an act of producing voice through the use of the vocal folds and vocal apparatus to create a linguistic act for conveying intended information. Speech is a subtle and rich communication that transfers not only the linguistic information, but also information about the personality and the emotional state of the speaker. The objective of this study is to analyse the eff...

This paper discusses the construction of speech databases for research into speech information processing and describes a problem illustrated by the case of emotional speech synthesis. It introduces a project for the processing of expressive speech, and describes the data collection techniques and the subsequent analysis of supra-linguistic, and emotional features signalled in the speech. It pr...

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...

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...