Скачать книгу - Wolf-Speaker

Content

Introduction

Projects to create front speakers

• Front speaker projects
• Spacer rings
• Two-component acoustics

Rear speakers for sedans

• Rear speakers for sedans
• Three component speaker system (Triax)
• Bandpass / coaxial speaker combinations

Rear speakers for hatchbacks

• Rear speakers for hatchbacks
• System No1
• System No2

Rear speakers for pickups

• Rear speakers for pickups
• System testing

Rear speakers for vans and SUVs

• Rear speakers for vans and SUVs
• Vans
• Off-road vehicles
• Car speaker for Jeep Wrangler
• Testing

Creating speakers

• Creating speakers
• Rules for creating speakers
• Creating a system
• Other features

Splitter filter (Crossover)

• Splitter filter (Crossover)
• Clean sound
• The principle of the scheme
• Chassis preparation

Basics of creating acoustic systems

• Basics of creating speaker systems
• Circuit analysis

Виктор Осетров сев не на ту электричку заблудился, обратившись к единственному пассажиру в вагоне обнаружил, что это глухонемой. Поразившись тому, что его все равно понимают изобрел новый способ распознания речи. В ПРОГРАММЕ: – Заниматься тем, что приносит больше денег или тем, что нравится? – Должна ли у бизнеса быть ВЕЛИКАЯ миссия? – Хорошо ли быть грантовый «пылесосом»? – Зачем регистрировать компанию в Америке? – Ответственность – бремя или мотивация?

Nowadays, letters, reports and emails are vital components of business practice. Communication is increasingly global, but it’s not any easier to understand or contribute to for non-fluent English speakers. There is increasing pressure to be able to produce effective documents for a business environment but little help out there to do so efficiently, resulting in wasted time and uncomfortable business communication. This book provides a wealth of practical information for any person who aims to produce short, effective documents within the work environment. It offers sensible, valuable and helpful rules for producing effective short reports, memos, letters and e-mails that are clear, concise and easy to read for the busy manager or supervisor working in the demanding setting of modern industry or commerce. But it goes further: not only are rules provided for the inexperienced business writer, but models are proposed which provide solutions for a whole host of business situations – providing help, support and encouragement for the many thousands of business writers who need to feel confident in their writing.

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.