Speech Recognition

Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes

Group activity recognition and analysis: concept, model and service architecture

This thesis presents a new method for representing and recognizing human group activities using sensors, showing how real-world group activity scenarios can be automatically detected and understood by combining sensor data from smartphones, smartwatches, and Internet-of-Things devices. This research also introduces a generic service-oriented architecture for cloud-based group activity recognition