METHOD AND APPARATUS FOR IMPROVING SPEECH RECOGNITION PROCESSING PERFORMANCE

摘要

Computing the feature Maximum Mutual Information (fMMI) method requires multiplication of vectors with a huge matrix. The huge matrix is subdivided into block sub-matrices. The sub-matrices are quantized into different values and compressed by replacing the quantized element values with 1 or 2 bit indices. Fast multiplication with those compressed matrices with far fewer multiply/accumulate operations compared to standard matrix computation is enabled and additionally obviates a de-compression method for decompressing the sub-matrices before use.

主权项

1. A method for improving computation time of speech recognition processing in an electronic device, the method comprising:
by a processor:
obtaining a table value, from a plurality of table values each corresponding to a unique summation of vector element values of a first vector, via an index corresponding to an encoded form of a combination of quantized element values of a second vector; andcomputing a dot product value of the first and second vectors using the table value obtained, the vector element values, and the quantized element values, the processor using fewer mathematical operations to compute the dot product value relative to a standard dot product computation of the first and second vectors, the speech recognition processing performing multiple dot product computations.