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$2,445 $2,934 $3,521 $4,225 $5,070 $6,084 $7,300 $8,761 $10,513 $12,615

We mention LPC here only because it has carved out a niche for itself in certain voice-related applications such as voice mail systems, automobiles, aviation, and electronic games that speak to children. LPC is a

(Continued )

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complex process, implemented completely in silicon, which allows for voice to be encoded at rates as low as 2,400 bps The resulting quality is far from toll quality, but it is certainly intelligible and its low bit-rate capability gives it a distinct advantage over other systems LPC relies on the fact that each sound created by the human voice has unique attributes, such as frequency range, resonance, and loudness, among others When voice samples are created in LPC, these attributes are used to generate prediction coefficients These predictive coefficients represent linear combinations of previous samples, hence the name Linear Predictive Coding Prediction coefficients are created by taking advantage of the known formants of speech, which are the resonant characteristics of the mouth and throat, which give speech its characteristic timbre and sound.

the telecom companies and fiber optic cable providers. During that period, the new investment-to-revenue-ratios for those companies were so high that there was no possibility for a telecom company to generate positive free cash flow.

This sound, referred to by speech pathologists as the buzz, can be described by both its pitch and its intensity LPC, therefore, models the behavior of the vocal cords and the vocal tract itself To create the digitized voice samples, the buzz is passed through an inverse filter that is selected based upon the value of the coefficients The remaining signal, after the buzz has been removed, is called the residue In the most common form of LPC, the residue is encoded as either a voiced or unvoiced sound Voiced sounds are those that require vocal cord vibration, such as the g in glare, the b in boy, the d and g in dog Unvoiced sounds such as the h in how, the sh in shoe, the f in frog require no vocal cord vibration.

Wfm2:

The transmitter creates and sends the prediction coefficients, which include measures of pitch, intensity and whatever voiced and unvoiced coefficients are required The receiver undoes the process: It converts the voice residue, pitch, and intensity coefficients into a representation of the source signal, using a filter similar to the one used by the transmitter to synthesize the original signal..

Digital Speech Interpolation (DSI)

We ve found that the easiest way to estimate net investment as a valuation input is to do the following: 1. During the excess return period, which assumes revenue growth, project that new investment and depreciation expense continue at the historic average percentages of revenue. 2. After the excess return period, which assumes that the return from new investment equals the company s WACC, set new investment equal to depreciation so that the company adequately maintains property, plant, and equipment.

Wfm1:

Human speech has many measurable (and therefore predictable) characteristics, one of which is a tendency to have embedded pauses. As a rule, people do not spew out a series of uninterrupted sounds; they tend to pause for emphasis, to collect their thoughts, to reword a phrase while the other person listens quietly on the other end of the line. When speech technicians monitor these pauses, they discover that during considerably more than half of the total connect time, the line is silent. Digital Speech Interpolation (DSI) takes advantage of this characteristic silence to drastically reduce the bandwidth required for a single

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-204 -208

The estimation procedure described here assures that to maintain its revenue growth, a company s new investment will keep pace on a percentage basis with total revenue. When revenue growth stops, new investment just keeps pace with depreciation expense, and net investment equals zero. That is: 0 New Investment Depreciation Expense

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