Abstract
The use of Kalman filtering techniques to reconstruct down-sampled speech signals is investigated. We compare a full-sampled, coarsely quantised speech coding system with a down-sampled, finely quantised speech coding system transmitting at the same bit-rate. Testing reveals that the down-sampled system can outperform the full-sampled system. Sample rate, sample accuracy and decoding delay are traded to achieve improvements at a fixed bit-rate.
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