Decoding multiple HMM sets using a single sentence grammar
First Claim
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1. A speech recognizer comprising:
- means for receiving speech frames;
means for constructing recognition paths for the speech frames, wherein the recognition paths are defined on expanded-symbols wherein each expanded-symbol references a model contained in one of a plurality of model sets, wherein each model set of the plurality of model sets is a group of models from one acoustic environment;
means for determining expanded-symbols by a conversion function that maps a base-symbol of a generic base grammar network composed of base-symbols to a plurality of expanded-symbols and an expanded-symbol to its corresponding base-symbol; and
means for selecting recognition paths of the constructed recognition paths as containing recognized utterances.
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Abstract
For a given sentence grammar, speech recognizers are often required to decode M sets of HMMs each of which models a specific acoustic environment. In order to match input acoustic observations to each of the environments, typically recognition search methods require a network of M sub-networks. A new speech recognition search method is described here, which needs a network that is only the size of a single sub-network and yet provides the same recognition performance, thus reducing the memory requirements for network storage by (M-1)/M.
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Citations
8 Claims
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1. A speech recognizer comprising:
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means for receiving speech frames; means for constructing recognition paths for the speech frames, wherein the recognition paths are defined on expanded-symbols wherein each expanded-symbol references a model contained in one of a plurality of model sets, wherein each model set of the plurality of model sets is a group of models from one acoustic environment; means for determining expanded-symbols by a conversion function that maps a base-symbol of a generic base grammar network composed of base-symbols to a plurality of expanded-symbols and an expanded-symbol to its corresponding base-symbol; and means for selecting recognition paths of the constructed recognition paths as containing recognized utterances. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification