Advances in ubiquitous sensing applications for healthcare is a series which covers new systems based on ubiquitous sensing for healthcare (USH). The volumes in this book series cover a wide range of interdisciplinary areas, and focus on U-healthcare systems in real-world healthcare applications. This book series demonstrates that this new domain is an outstanding and significant domain that has a brilliant future in applied healthcare research. The volumes in this series are ideal reference texts for engineers and researchers who are working on U-healthcare and mhealth systems. The volumes in this book series cover a wide range of interdisciplinary areas including wireless sensors networks, wireless body area networks, Big data, Internet-of-Things (IoT), security, monitoring, real time data collection, data management, systems design/analysis, web services and practical applications related to U-healthcare systems, implantable/wearable sensors in body sensor networks, information technology, diagnostic services, encryption, and implementation of wireless telemetry system for multisensory data fusion and decision-support. Applied Speech Processing is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, and creating collaboration networks between several participants, and video-conferencing in different application areas. It provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well. Includes basics of speech data analysis and management tools with several applications, highlighting recording systemsCovers different techniques of big data and Internet-of-Things in speech signal processing, including machine learning, and data miningOffers a multi-disciplinary view of current and future challenges in this field, with extensive case studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing INDICE: 1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients 2. Closed-Set Speaker Identification System based on MFCC and PNCC features Combination with Different Fusion Strategy 3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications 4. A novel approach towards phoneme-to-viseme mapping in Malayalam 5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement 6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement 7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation
- ISBN: 9780128238981
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 150
- Fecha Publicación: 01/01/2021
- Nº Volúmenes: 1
- Idioma: Inglés