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  • Rice University ELEC 301 Projects display tagshide tags

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    By: Rice University ELEC 301As a part of collection: "ELEC 301 Projects Fall 2007"

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    By: Sidney BurrusAs a part of collection: "ELEC 301 Projects Fall 2007"

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Introduction

Module by: Taylor Goodhart. E-mail the author

Summary: This module serves as the start point for a series containing information about implementing a real-time laugh track removing DirectShow filter. Included are topics such as signal analysis, detection methods, and implementation.

This series of modules describes the design, implementation, and analysis of a real-time laugh track removal system. We first give an analysis of the characteristics of a laugh track in both the frequency and time domain, as can be found in the module Anatomy of a Laugh Track. We then discuss methods for detecting laugh tracks. The primary method can be found in the module Primary Detection Methods for Laugh Tracks. Another method with which we experimented can be found in the module Secondary Detection Methods for Laugh Tracks. We conclude with a discussion of the implementation of the real-time component. This can be found in the module DirectShow Filter Design for Laugh Track Removal. A summary can be found in the Conclusion

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Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks