Voice Recognition

By: Richard L. Klevans, Robert Rodman

Write A Review

Hardcover | 1 October 1997

At a Glance

Hardcover
188 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

Hardcover

$335.75

or 4 interest-free payments of $83.94 with

Ships in 10 to 15 business days

Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Audio Processing Artificial Intelligence Natural Language & Machine Translation Image Processing

Introduction	p. 1
Speech Synthesis	p. 1
Speech Recognition	p. 3
Speaker Classification	p. 4
Areas of Application for Voice Recognition	p. 6
Design Tradeoffs in Voice Recognition	p. 7
Text-Dependent Versus Text-Independent	p. 7
Ideal Recording Environment Versus Noisy Environment	p. 8
Speaker Verification Versus Speaker Identification	p. 9
Real-Time Operation Versus Off-Line Operation	p. 9
Regarding This Book	p. 10
Intended Readers	p. 10
What Is Covered	p. 11
Why?	p. 12
References	p. 13
Background of Voice Recognition	p. 15
Voiceprint Analysis	p. 16
Parameter Extraction	p. 20
The Parameter Extraction Process	p. 20
Types of Parameters	p. 21
Evaluation of Parameters	p. 27
Distance Measures	p. 29
Pattern Recognition	p. 32
Voice Recognition in Noisy Environments	p. 54
Summary	p. 56
References	p. 57
Methods of Context-Free Voice Recognition	p. 61
Voice Recognition in Law Enforcement	p. 61
Forensic Recognition Classification	p. 62
Ideal Voice Recognition	p. 64
A Segregating Voice-Recognition System	p. 72
System Tasks	p. 75
Channel Variation Compensation	p. 94
Software Implementation	p. 99
Logistics of Forensic Speaker Identification	p. 101
Summary	p. 105
References	p. 105
Experimental Results	p. 107
Test Utterance Length Experiments	p. 107
Large Population Results	p. 112
Filtered Data Test	p. 114
Channel Compensation Tests	p. 116
Average Filter Compensation Technique Experiment	p. 117
Rehumanizing Filter Technique Experiment	p. 119
Secondary Parameters	p. 121
Secondary Parameter Usage	p. 130
Effects of Varying the Cutoff Value	p. 131
Best-Case Secondary Parameter Usage	p. 132
Mock Forensic Cases	p. 135
SBI Case 1	p. 136
SBI Case 2	p. 144
SBI Case 3	p. 147
Summary	p. 148
References	p. 149
The Future of Context-Free Voice Recognition	p. 151
Rehumanizing Filter Technique Tests	p. 151
Voice-Recognition Databases	p. 153
Medium-Term Goals	p. 156
Long-Term Goals	p. 157
Other Applications	p. 158
Summary	p. 159
References	p. 160
Conclusions	p. 161
About the Authors	p. 165
Index	p. 167
Table of Contents provided by Syndetics. All Rights Reserved.

Voice Recognition

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Natural Language & Machine Translation

The Ultimate ChatGPT Prompt Book

750+ Expert Prompts to Boost Productivity, Unlock Creative Potential, and Simplify Tasks

AI Engineering

Building Applications with Foundation Models

Hands-On Large Language Models

Language Understanding and Generation

Artificial Intelligence All-in-One For Dummies

For Dummies (Computer/Tech)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

Concepts, Tools, and Techniques to Build Intelligent Systems

Artificial Intelligence for HR

Use AI to Support and Develop a Successful Workforce

Scaling Responsible AI

From Enthusiasm to Execution

AI ChatBots For Dummies

For Dummies (Computer/Tech)

ChatGPT For Dummies

For Dummies (Computer/Tech)

How To Think About AI A Guide For The Perplexed

A Guide For The Perplexed

Learning LangChain

Building AI and LLM Applications with LangChain and LangGraph

Introduction to Machine Learning with Python

A Guide for Data Scientists

The Governance of Artificial Intelligence

The Cathedral & the Bazaar - Musings on Linux & Open Source by an Accidental Revolutionary Rev

Musings on Linux and Open Source by an Accidental Revolutionary

Acting

Keywords and Concepts

Perceptive Machines

The Future of Feeling AI and What It Means for Humanity

Perceptive Machines

The Future of Feeling AI and What It Means for Humanity

AI for the Ordinary

A Non-technical Playbook for Citizens, Students, and Managers

Errant Intelligence

A Media Theory of Machine Learning

AI for Seniors in easy steps

In Easy Steps

Federated Learning for Healthcare

Applications with Case Studies

Beyond Algorithms

Reframing AI as Intellectual Capital for Human Flourishing

Creating Websites with AI

A Model Neutral Beginner's Guide

Embracing Techno-humanities in the Age of AI

Routledge Studies in Translation Technology

This product is categorised by