Speech compression or encoding is an application of data compression of digital audio signals containing speech. Speech coding uses speech specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modelled parameters in a compact bitstream. The two most important application of speech compression are mobile telephony and voice over IP.
1) Shortened Ordering Time : Paper orders have to be printed, enveloped and sent out by the customer's post room, passed through the postal service, received by the supplier's post room and input to the supplier's order pocessing system. To achieve all this, reliably, in under three days would be to do very well. EDI orders are sent straight into the network and the only delay is how often the supplier retrieves messages from the system. Orders can be in the supplier's system within a day, or if there is urgency, the messages can be retrieved more frequently, for example every hour. 2) Cost Cutting : The use of EDI can cut costs. These include the costs of stationery and postage but these will probably be fully matched by the costs of running the EDI service. The principle saving from the use of the EDI is the potential to save staff costs. For example, if the orders are directly input to the system there is no need for an order entry clerk. 3) Elimination of Errors :...

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