Patent ID: 8635067
Filing Date: 2014-01-21
Classification: G10L

Abstract:
1. A method comprising: obtaining access to a large reference acoustic model for automatic speech recognition, said large reference acoustic model having L states modeled by L mixture models, said large reference acoustic model having N components; identifying a desired number of components N for each given one of said L mixture models in said reference acoustic model, building a merge sequence which records, for a given cost function, sequential mergers of pairs of said components associated with said given one of said mixture models; assigning a portion of said N building said restructured acoustic model by, for each given one of said L states in said restructured acoustic model, applying said merge sequence to a corresponding one of said L mixture models in said reference acoustic model until said portion of said N providing a system, wherein the system comprises distinct software modules, each of the distinct software modules being embodied on a computer-readable storage medium, and wherein the distinct software modules comprise a merge sequence generator module, a component assigner module, and a model builder module;