Illustrated throughout with samples of code and practical diagrams, this textbook is an accessible introduction to the fundamentals of speech... Læs mere
This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions.
It raised my interest, and after reading some early research papers on the topic, I thought: “There must exist better solutions. As the topic did not t into any running project or at least the overall research directions of his group, he could have answered no.
Boasting a wealth of experimental results and algorithms as well as a clear exposition of the mathematical background, this introduction to adaptive digital filtering guides the reader from the theoretical fundamentals to real-life technical applications.
Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression.... Læs mere
It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria.
This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. Accurate estimation of these crucial events... Læs mere
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants.
Speech act theory has been foundational in establishing pragmatics as an independent field of inquiry; yet, recent pragmatic research appears to... Læs mere