This book presents techniques for audio search, aimed to retrieve information from massive speech databases by using audio query words. The authors examine different features, techniques and evaluation measures attempted by researchers around the world. The topics covered also include available databases, software / tools, patents / copyrights, and different platforms for benchmarking. The content is relevant for developers, academics, and students.
“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for researchers and developers in academia and industry from the fields of speech processing and speech recognition, specifically Keyword Spotting.
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Issues in Japanese Psycholinguistics from Comparative Perspectives compiles 31 state-of-the-art articles on Japanese psycholinguistics. It emphasizes the importance of using comparative perspectives when conducting psycholinguistic research. Psycholinguistic studies of Japanese have contributed greatly to the field from a cross-linguistic perspective. However, the target languages for comparison have been limited. Most research focuses on English and a few other typologically similar languages. As a result, many current theories of psycholinguistics fail to acknowledge the nature of ergative-absolutive and/or object-before-subject languages. The cross-linguistic approach is not the only method of comparison in psycholinguistics. Other prominent comparative aspects include comprehension vs. production, native speakers vs. second language learners, typical vs. aphasic language development. Many of these approaches are underrepresented in Japanese psycholinguistics. The studies reported in the volumes attempt to bridge these gaps. Using various experimental and/or computational methods, they address issues of the universality/diversity of the human language and the nature of the relationship between human cognitive modules. Volume 1, Cross-Linguistic Studies, compares Japanese and other languages, including well-studied languages such as English, as well as lesser-studied languages such as Kaqchikel.
The eminent Harvard educationalist Howard Garner writes a preface to the Place Model within his Good Project Blog which provides a preface to this timely book. Professional is a slippery term, open to willful abuse, misuse and misunderstanding – as evidenced by the ways in which this chameleon term can be used as both a compliment and an insult. In this book academics from a range of professional fields deconstruct ‘professional’ and reimagine professionals in an age of rapid change where professionals are both increasingly in demand and frequently under threat. Several deploy the lens of Clarke’s Place Model to examine professions including teaching, midwifery, social work, journalism, and optometry. Some papers are empirical and some are based around using the Place Model as a thought experiment. All turn a critical eye on professionals and all find them to be, like all humans, neither devils nor divines (Maya Angelou), but at their best a combination of two indispensable characteristics, trustworthiness and expertise.
"Provides information about librarianship as a career, including types of libraries, types of jobs within libraries, professional issues, and educational requirements"--Provided by publisher.
This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.
The book presents current research and developments in multilingual speech recognition. The author presents a Multilingual Phone Recognition System (Multi-PRS), developed using a common multilingual phone-set derived from the International Phonetic Alphabets (IPA) based transcription of six Indian languages - Kannada, Telugu, Bengali, Odia, Urdu, and Assamese. The author shows how the performance of Multi-PRS can be improved using tandem features. The book compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning is explored to improve the prediction accuracy of AFs. Then, the AFs are explored to improve the performance of Multi-PRS using lattice rescoring method of combination and tandem method of combination. The author goes on to develop and evaluate the Language Identification followed by Monolingual phone recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition systems.
Unique! New Evidence-Based Practice chapter provides an overview of the important concepts of EBP and the WHO model of health and disease. Discussion questions on the companion Evolve website provide you with ideas for further study. Unique! Research article analyses on Evolve provide more in-depth analysis and promote the writing style you should employ. New authors Russell Carter and Jay Lubinsky bring an interdisciplinary focus and a stronger emphasis on evidence-based practice.
