Patent ID: 7272557
Filing Date: 2007-09-18
Classification: G10L

Abstract:
1. A method of quantizing speech recognition model parameters for a plurality of input vector dimensions, comprising: multiplying a speech model parameter for an input vector dimension by a first scaling factor to produce a product, subtracting an offset from the product to produce a result and multiplying the result by a second scaling factor to produce a linearly-scaled model parameter wherein a different first scaling factor and second scaling factor are used for each input vector dimension and wherein a product of the first scaling factor and the second scaling factor is the same for all input vector dimensions; applying the linearly-scaled model parameter to a non-linear scaling function to produce a scaled model parameter; quantizing the scaled model parameter to form a first quantized speech recognition model parameter for the input vector dimension; multiplying a second model parameter for the input vector dimension by the second scaling factor to produce a second product and quantizing the second product to form a second quantized speech recognition model parameter for the dimension; and storing the quantized speech recognition model parameters in memory.