Незаменима для ведущих активный образ жизни.
The perfect book for anyone who wants to learn Mandarin Chinese fast. Comes with a free downloadable audio app for Apple and Android phones, enabling learners to hear words and phrases spoken by native Mandarin Chinese speakers.12 themed chapters are broken down into 15-minute daily lessons, spanning a range of practical themes, from socialising to doing business. Each lesson combines Mandarin Chinese vocabulary and grammar essentials with full-colour photographs for a user-friendly, accessible language guide. The ideal Mandarin Chinese language course for beginners, the 15-Minute language series will teach you how to speak a new language in just 12 weeks.Topics covered: introductions, eating and drinking, making arrangements, travel, getting about, accommodation, shopping, work and study, health, at home, services, leisure and socialising, with a menu guide and two-language dictionary.
Полный вариант заголовка: «The Sacred Edict : Containing 16 maxims of the Emperor Kang-He / Amplified by his son, the Emperor Yoong-Ching ; together with a paraphrase on the whole, by a Mandarin ; translated from the Chinese original, and illustrated with notes, by the Rev, William Milne».
This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.
A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.