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Voice verification is a biometric with both physiological and behavioral components The physical shape of the vocal tract is the primary physiological component As shown in Figure 4-2, the vocal tract consists of the oral and nasal airways, and the soft tissue air cavities are where vocal sounds originate The cavities work in combination with movement of the mouth, jaw, tongue, pharynx, and larynx to articulate and control speech production The physical characteristics of these airways impart measurable acoustic patterns on the speech that is produced Their shape, length, and volume act as an acoustic filter, influencing the tone, pitch, and resonance The motion, manner, and pronunciation of words form the basis for the behavioral aspects of voice biometrics Additionally, free speech analysis, analysis based on speech models with no fixed vocabulary, considers grammatical context, word frequency statistics, idiomatic use, and other rhythmic and intonational aspects of the language for metric comparison and analysis Voice verification, also sometimes referred to as speaker recognition, is one of several quasi-related speech technologies Voice recognition is a similar but differently purposed technology from speaker recognition The goal of voice recognition is to understand spoken words and sentences that is, the content of what is being said Originally developed to provide voice interfaces to computers, voice recognition is able to support dictation and transcription applications and also is increasingly used to support voice command interpretation in automated telephone call centers Voice recognition will become increasingly avail-

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transmitted in the standard 6 MHz television band without some form of compression Some of the rules and computations for NTSC video analogto-digital conversion are shown in Example 5-2 Digital television signals are used in studios and post-production facilities and are not transmitted over the air Therefore, the necessary bandwidth requirement is not an issue 5412 In this section, the process of forming a television image in the digital domain will be addressed A system of progressive scanning is used, as opposed to interlaced scanning for analog NTSC television A superior television picture will result by essentially increasing the number of pixels over the surface of the television screen With NTSC 4:3, 525 line pictures, the horizontal resolution is a function of video bandwidth and is de ned as the number of picture details that appear across threequarters of the screen width The number of horizontal details can be computed by multiplying the bandwidth in hertz by the horizontal scan time, giving 449 details Three-quarters of this number gives 337 lines of horizontal resolution For vertical resolution, the total visible number of horizontal lines multiplied by 07, a utilization factor (Kell factor), gives 338, which is almost the same as the horizontal resolution The pixel number corresponding to this vertical and horizontal resolution is simply the product of 449

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Figure 6-42 Exception highlighting helps numbers that meet certain criteria immediately jump out by changing the background color, foreground color, and/or font

Figure 4-2

Example 5-2

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able for a variety of embedded systems that require or could benefit from hands-free, voice interfaces Potential uses include computers, automobiles, consumer electronics, and even appliances However, the single goal of voice verification as a biometric is to establish the identity of who is speaking to confirm the identity of an individual using their voice A user s identification claim is presented with a voice sample (a word or short pass phrase, also known as an utterance) The utterance is captured with an ordinary microphone, and its acoustic properties are verified against the user s previously enrolled sample If they are sufficiently similar, the user is authenticated Verification or identification can be done in either unconstrained or constrained mode depending on the nature and purpose of the application Unconstrained verification means the speech input is free, or text-dependent, conversation The more commonly used constrained mode is able to achieve lower error rates by restricting utterances to predetermined single words or short phrases (text-dependent conversation) By its nature, the unconstrained mode operates on speech inputs of longer duration Nothing prevents both techniques from being used concurrently, but as a practical matter longer speech inputs are unsuitable for cooperative authentication applications where the user is expecting a response for an access request The science and engineering focus of voice recognition and speech synthesis applications tends to be on how to parametrically capture, store, and replay voice signals, whereas speaker recognition applications are primarily concerned with the classification of voice signals

In order to turn off Exception Highlighting, the developer will open the Exception Highlighting dialog box and click the Delete button A new dialog box will appear that asks which of the three exceptions should be removed The developer is free to choose one, two, or all three

where fb upper frequency limit or bandwidth For 4 fsc 358 MHz, 4 For 10 bits/sample, total bit rate Since fs 2fb, fb 10 143 MHz fb, 143 ____ 2 72 MHz 358 143 MHz

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