One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit-selection speech synthesis and statistical parametr...

Emotion is often defined as a complex state of feeling that results in physical and psychological changes that influence thought and behaviour. Emotion modelling and recognition has drawn extensive attention from disciplines such as psychology, cognitive science and engineering. The main goal is to identify the emotional or physical state of a human being from his or her voice. A speaker has di...

Speech ‘in-the-wild’ is a handicap for speaker recognition systems due to the variability induced by real-life conditions, such as environmental noise and emotional state of speaker. Taking advantage principles representation learning, we aim design recurrent denoising autoencoder that extracts robust embeddings from noisy spectrograms perform identification. The end-to-end proposed architectur...

The importance of speech prosody for conveying emotional information has been extensively underlined in the literature. Major elements such as pitch, tempo and stress are presented as the main acoustic correlates of emotion in human speech. Nevertheless, as several authors have shown, voice quality is also a relevant feature in emotion recognition. In this paper, we present the prosodic analysi...

While the majority of traditional research in emotional speech recognition has focused on the use of a single database for assessment, it is clear that the lack of large databases has presented a significant challenge in generalizing results for the purposes of building a robust emotion classification system. Recently, work has been reported on cross-training emotional databases to examine cons...

Study of emotions in human-computer interaction is a growing research area. Focusing on automatic emotion recognition, work is being performed in order to achieve good results particularly in speech and facial gesture recognition. This paper presents a study where, using a wide range of speech parameters, improvement in emotion recognition rates is analyzed. Using an emotional multimodal biling...

This paper describes a high-quality Text-to-Speech system based on the concatenation of diphonemes with the MBR-PSOLA algorithm. Since it was designed as a substitute of natural voice for handicapped people, it must offer a easy to hear speech, with emotional and emphatic information embedded in it. This is obtained with the prosody generator, which uses phonological patterns and a grammatical ...

Intonation is one of the most important factors of speech expressivity. This paper presents a conversion method for the F0 contours. The F0 segments are represented with discrete cosine transform (DCT) coefficients at the syllable level. Multi-level dynamic features are added to model the temporal correlation between syllables and to constrain the F0 contour at the phrase level. Gaussian mixtur...

Spoken emotion recognition is a multidisciplinary research area that has received increasing attention over the last few years. In this paper, restricted Boltzmann machines and deep belief networks are used to classify emotions in speech. The motivation lies in the recent success reported using these alternative techniques in speech processing and speech recognition. This classifier is compared...

An emotional speech recognition system for the applications on smart phones was proposed in this study to combine with 3G mobile communications and social networks to provide users and their groups with more interaction and care. This study developed a mechanism using the support vector machines (SVM) to recognize the emotions of speech such as happiness, anger, sadness and normal. The mechanis...