TY - CHAP A1 - Marta Casar A2 - José A. R. Fonollosa ED1 - France Mihelic ED2 - Janez Zibert Y1 - 2008-11-01 PY - 2008 T1 - Overcoming HMM Time and Parameter Independence Assumptions for ASR N2 - 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. BT - Speech Recognition SP - Ch. 8 UR - https://doi.org/10.5772/6379 DO - 10.5772/6379 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-06-13 ER -