Method and system for modeling a common-language speech recognition, by a computer, under the influence of a plurality of dialects

A non-transitory, computer-readable medium encoded with a program, executable by a computer, for creating a speech recognition model, the program comprising functions executed by a processor of:

• generating a standard model of a triphone standard common language based on training data of the standard common language;
• generating a first model of a monophone dialectal-accented common language based on development data of a first accent of the standard common language;
• creating a temporary language model by merging, through an iterative process, the standard model and the first model with reference to a first confusion matrix formed between the standard model and the development data of the first accent;
• generating a second model of a monophone dialectal-accented common language based on development data of a second accent of the standard common language that is different from the first accent;
• and
• creating the speech recognition model by merging, through an iterative process, the second model and the temporary language model with reference to a second confusion matrix formed between the temporary model and the development data of the second accent.

A computer-implemented method for creating a speech recognition model, the method performed by a processor and comprising:

• generating, by the processor, a standard model of a triphone standard common language based on training data of the standard common language;
• generating a first model of a monophone dialectal-accented common language based on development data of a first accent of the standard common language;
• creating a temporary language model by merging, through an iterative process, the standard model and the first model with reference to a first confusion matrix formed between the standard model and the development data of the first accent;
• generating a second model to nth model, where n is a natural number greater than or equal to 2, of a monophone dialectal-accented common language based on development data of a second accent to nth accent, respectively, of the standard common language that are different from each other;
• and
• creating the speech recognition model by merging, through an iterative process, an ith model, where i is an integer such that 1<i≦n, and an (i−1)th temporary language model with reference to an ith confusion matrix formed between the (i−1)th temporary model and the development data of the ith accent.

A non-transitory, computer-readable medium encoded with a program, executable by a computer, for creating a speech recognition model, the program comprising functions performed by a processor of:

• generating a standard model of a triphone standard common language based on training data of the standard common language;
• generating a first model of a monophone dialectal-accented common language based on development data of a first accent of the standard common language;
• creating a temporary language model by merging, through an iterative process, the standard model and the first model with reference to a first confusion matrix formed between the standard model and the development data of the first accent;
• generating a second model to nth model, where n is a natural number greater than or equal to 2, of a monophone dialectal-accented common language based on development data of a second accent to nth accent, respectively, of the standard common language that are different from each other;
• and
• creating the speech recognition model by merging, through an iterative process, an ith model, where i is an integer such that 1<i≦n, and an (i−1)th temporary language model with reference to an ith confusion matrix formed between the (i−1)th temporary model and the development data of the ith accent.

A model generating unit, controlled by a control unit, system for creating a speech recognition model, the model generating unit comprising:

• a standard common-language training database, which stores training data of a triphone standard common language;
• a first development database, which stores first development data of a monophone dialectal-accented common language based on a first accent of the standard common language;
• a second development database, which stores second development data of a monophone dialectal-accented common language based on a second accent of the standard common language that is different from the first accent;
• a standard model generator, which generates a standard model based on training data stored in the standard common-language training database;
• a first model generator, which generates a first model based on development data of a first accent of the standard common language stored in the first development database;
• a temporary model merging unit, which creates a temporary language model by merging, through an iterative process, the standard model and the first model with reference to a first confusion matrix formed, by a first confusion matrix generator, between the standard model and the development data of the first accent stored in the first development database;
• a second model generator, which generates a second model based on development data of a second accent of the standard common language stored in the second development database;
• and
• a speech recognition model merging unit, which creates the speech recognition model by merging, through an iterative process, the second model and the temporary language model with reference to a second confusion matrix formed, by a second confusion matrix generator, between the temporary model and the development data of the second accent stored in the second development database.