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The VERIFY-FROM-BUFFER request method performs the same action as the VERIFY request method except that the audio data is sourced from the verification buffer instead of the live media stream. The verification buffer can be written to by the speaker verification resource (by issuing a VERIFY request with Ver-Buffer-Utterance: true), by a recogniser resource allocated in the same SIP dialog (by issuing a RECOGNIZE request with Ver-Buffer-Utterance: true), or by a recorder resource allocated in the same SIP dialog (by issuing a RECORD request with Ver-Buffer-Utterance: true). Note that a START-OF-INPUT event is not generated for the VERIFY-FROM-BUFFER request. Verifying from a buffer is useful for several reasons. A recogniser can be used to ascertain the claimed identity of the user (by recognising an account number for example), and that audio can be subsequently used to verify the user against the corresponding voiceprint. Another example is where the VERIFY request fails to verify the user but the MRCP client wishes to use the same audio to attempt a verification against a different voiceprint. Assuming the initial VERIFY carried the Ver-Buffer-Utterance: true header, then the verification buffer will have been written to and a new session can be started with a different voiceprint (using START-SESSION), and the VERIFY-FROM-BUFFER request can be invoked. Figure 15.5 illustrates an example of the VERIFY-FROM-BUFFER request method. The corresponding messages follow. F1 (client speakverify):

The paper describes a simple model that was not meant to resemble realworld networks The 37 percent limit was also discussed in studies done by the IEEE comparing CSMA/CD to token passing Token passing makes a node wait for a token before sending At modest loads, this wait means that token passing results in more delay than CSMA/CD However, at around 37 percent utilization on a medium shared by 50 stations using 128-byte frames, Ethernet frames experience more delay than Token Ring frames After many years of hearing the "37 percent rule," Boggs and two other researchers published a 1988 paper called "Measured Capacity of an Ethernet: Myths and Reality" The paper is available at wwwresearchdigitalcom/wrl/publications/abstracts/884html Instead of slavishly obeying a rule about utilization thresholds, you should track other reliability indicators on your network, as described in the next section.

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You should also use a protocol analyzer and RMON matrix data to gain an understanding of traffic flow on your network Coupled with your network map that documents a logical and physical topology, you should have a feel for which networks can support high utilization and which need to be kept at a low utilization In addition, apply some common sense Your main concern should be whether users are justifiably complaining about the network being slow..

Amazon isn t telling you what other buyers think about the books Amazon is recommending Reviews are available, if you want them, but that s not how Amazon came up with the recommendations It s not about what people liked Amazon is telling you what other people bought That information is easy to collect because it s an intrinsic part of every purchase transaction, and it s easy to analyze compared to any ratings that a diverse set of customers might apply to a book that they ve all read (Every customer has his or her own rating system, and Amazon doesn t know what it is But a purchase is a purchase is a purchase.

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) If given a wider universe of data to work with, Amazon might also find that people who bought certain books tended to rent certain videos, or drink certain coffees, or travel more frequently than others to particular locations Knowing those preferences could open up entirely new avenues for Amazon s recommendations Can I add a double latte with cinnamon to your order Would you like to drink it in Rio de Janeiro Wearing a scarf in a certain shade of red It s neither possible nor necessary to predict all the associations that might turn up The power of large-scale analysis of simple facts is precisely that it reveals such patterns The technology that makes the analysis possible, data mining, is available now in a very robust form, and it s getting stronger Amazon doesn t have an infinite universe of data.

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It has the stuff it can generate from its own sales, plus whatever else it can buy or rent from third parties (If Amazon were less ethical, we could add: plus whatever it could steal from third parties to that list) Amazon doesn t have everything But the universe gets bigger all the time..

All notices to the landlord shall be served by mailing first class mail or by personal delivery to the manager s apartment or to:______________ ___________________________________________________..

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The Technical Stuff: Telematics 50 Who Hears What 51 The More You Give, the More You Get Who s Driving 53 What the Owner Wants 54 Cars Without Secrets, Now 55 What the Car Knows 56 Suppose 58 Private by Intention 59 What Can Policy Do 60 Call Me Any Time 62 Speaking of Enhancing Performance Making the Drivers Smart 64 Smart Cars, Yes 65 It s Simple, Not 67 Hunter s First Law 68 51

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Under the hood of Win32Wlk .............................................................. Summary .....................................................................................................

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