New York, USA: Routledge, 2020. — 260 p. — (Routledge Research in Language Education). — ISBN 978-1-138-73314-5. Количественные Данные Оценки Языка Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods emonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from...
John Wiley & Sons, Inc., 2013. — 384 p. — 3rd Edition. На англ. языке. Fully updated for the latest speech recognition tools and features, this bestselling guide helps you conquer Dragon NaturallySpeaking and gets you started creating documents, sending e-mail, searching the web, and more using only your voice. You?ll learn Dragon basics like dictation, formatting, and...
2nd Ed. — Springer, 2017. — 115 p. — (SpringerBriefs in Electrical and Computer Engineering). — ISBN10: 3319690019, 13 978-3319690018. This new edition provides an updated and enhanced survey on employing wavelets analysis in an array of applications of speech processing. The author presents updated developments in topics such as; speech enhancement, noise suppression, spectral...
O’Reilly Media, Inc., 2013. — 242 p. Go under the hood of an operating Voice over IP network, and build your knowledge of the protocols and architectures used by this Internet telephony technology. With this concise guide, you’ll learn about services involved in VoIP and get a first-hand view of network data packets from the time the phones boot through calls and subsequent...
Springer, 2018. — 120 р. This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from...
Eamon Dolan/Houghton Mifflin Harcourt, 2019. — 259 p. — ISBN10: 1328799301, 13 978-1328799302. The next great technological disruption is coming The titans of Silicon Valley are racing to build the last, best computer that the world will ever need. They know that whoever successfully creates it will revolutionize our relationship with technology—and make billions of dollars in...
Cambridge: Cambridge University Press, 2015. — 446 p. — ISBN 978-1-107-05557-5. With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic...
Springer, 2017. — 436 p. — ISBN: 9783319646794. The text 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. The contributed chapters also include...
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