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Kinect for Windows SDK Programming Guide

You're reading from   Kinect for Windows SDK Programming Guide Build motion-sensing applications with Microsoft's Kinect for Windows SDK quickly and easily

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Product type Paperback
Published in Dec 2012
Publisher Packt
ISBN-13 9781849692380
Length 392 pages
Edition 1st Edition
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Author (1):
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Abhijit Jana Abhijit Jana
Author Profile Icon Abhijit Jana
Abhijit Jana
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Table of Contents (13) Chapters Close

Preface 1. Understanding the Kinect Device FREE CHAPTER 2. Getting Started 3. Starting to Build Kinect Applications 4. Getting the Most out of Kinect Camera 5. The Depth Data – Making Things Happen 6. Human Skeleton Tracking 7. Using Kinect's Microphone Array 8. Speech Recognition 9. Building Gesture-controlled Applications 10. Developing Applications Using Multiple Kinects 11. Putting Things Together Index

Audio signal processing in Kinect


Kinect has its own inbuilt sophisticated audio-processing pipeline to filter the audio data. Once the source and position of the sound is calculated, the audio-processing pipeline merges the signals of all microphones and produces a signal with high-quality sound. Kinect can identify the sound within a range of +50 to -50 radians.

Note

The range of angle within which Kinect can listen is called source angle.

As Kinect is responsible for human voice recognition, the audio-processing pipeline also applies a filter on the wave frequency by suppressing all the frequencies that go out of the frequencies of the human voice (between 80 and 1100 Hz). Along with that, the pipeline is also responsible for filtering out other noise, removing the echoes, and producing an amplified voice.

The Kinect audio-processing pipelines use several digital signal processors (DSP) that have all the complex algorithms to produce better voice recognition, irrespective of the circumstances...

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