Decoding multiple HMM sets using a single sentence grammar

摘要: For a given sentence grammar, speech recognizers are often required to decode M sets of HMMs each which models specific acoustic environment. In order match input observations the environments, typically recognition search methods require network sub-networks. A new method is described here, needs that only size single sub-network and yet gives same performance, thus reducing memory requirement for storage by (M−1)/M.