How to Lead by The Book. Proverbs, Parables, and Principles to Tackle Your Toughest Business Challenges
Автор: Dave Anderson
Год издания:
Biblical solutions to dozens of the toughest challenges leaders face today. Concise, to-the-point, and highly useable, How to Lead by THE BOOK presents a series of personal and business challenges recognizable to leaders, then deals with each through insight, personal experience, and a discussion of why conventional approaches often fail. Each section then concludes with winning proverbs, parables, or principles that offers applicable strategies to solve the issue. In this practical and inspiring guide, you'll discover proven methods and advice to shape young leaders, stretch veteran leaders, become a better communicator, maintain your work-life balance, deal with dishonesty among competitors, and much more. Shows why typical approaches to leadership problems often fail, while biblical wisdom succeeds Covers both day-to-day dilemmas and larger questions of management, accountability, and vision From the bestselling author of How to Run Your Business by THE BOOK, Up Your Business, and If You Don't Make Waves You'll Drown What is the number one downfall for leaders? When is the best time to make a decision? How do you hold others accountable? How do you survive success with your principles intact? What does the Bible say about time management? Get the answers to these and many more practical business questions when you discover the winning wisdom of How to Lead by THE BOOK.
Spoken Language Understanding. Systems for Extracting Semantic Information from Speech
Автор: Tur Gokhan
Год издания:
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.