Standard model creating device and standard model creating method

A standard model creating apparatus for creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said standard model creating apparatus comprising:

• a reference model storing unit operable to store at least one reference model which is a probability model showing an acoustic characteristic having a specific attribute;
• a reference model selecting unit operable to select at least one reference model from among the at least one reference model stored in said reference model storing unit, on the basis of usage information regarding an attribute which is an object of speech recognition;
• and
• a standard model creating unit operable to create the standard model by calculating statistics of the standard model using statistics of the at least one reference model selected by the reference model selection unit,
• wherein said standard model creating unit includes:
• a standard model structure determining unit operable to determine a structure of the standard model which is to be created;
• an initial standard model creating unit operable to determine initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating unit operable to estimate and calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A standard model creating apparatus for creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said standard model creating apparatus comprising:

• a reference model storing unit operable to store at least one reference model which is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating unit operable to create the standard model by calculating statistics of the standard model using statistics of the at least one reference model stored in said reference model storing unit,
• wherein said standard model creating unit includes:
• a standard model structure determining unit operable to determine a structure of the standard model which is to be created, on the basis of at least one of:
• specification information regarding specifications of the standard model which is to be created;
• and usage information regarding an attribute which is an object of speech recognition;
• an initial standard model creating unit operable to determine initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating unit operable to estimate and calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A standard model creating apparatus for creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said standard model creating apparatus comprising:

• a reference model storing unit operable to store at least one reference model which is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating unit operable to create the standard model by calculating statistics of the standard model using statistics of the at least one reference model stored in said reference model storing unit,
• wherein said standard model creating unit includes:
• a standard model structure determining unit operable to determine a structure of the standard model which is to be created;
• an initial standard model creating unit operable to determine initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating unit operable to estimate and calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model,
• wherein each of the reference model and the standard model is expressed using at least one Gaussian distribution,
• said reference model storing unit is operable to store a pair of reference models, each having at least a different number of Gaussian mixture distributions, and
• said statistics estimating unit is operable to calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model with respect to the pair of reference models.

A standard model creating apparatus for creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said standard model creating apparatus comprising:

• a reference model storing unit operable to store at least one reference model which is a probability model showing an acoustic characteristic having a specific attribute;
• a reference model preparing unit operable to perform at least one of:
• obtaining a reference model from an outside source and storing the obtained reference model into said reference model storing unit;
• and creating a new reference model and storing the new reference model into said reference model storing unit, as well as at least one of updating and adding to the reference model stored in said reference model storing unit;
• and
• a standard model creating unit operable to create the standard model by calculating statistics of the standard model using statistics of the at least one reference model stored in said reference model storing unit,
• wherein said standard model creating unit includes:
• a standard model structure determining unit operable to determine a structure of the standard model which is to be created;
• an initial standard model creating unit operable to determine initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating unit operable to estimate and calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A standard model creating apparatus for creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said standard model creating apparatus comprising:

• a reference model storing unit operable to store at least one reference model which is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating unit operable to create the standard model by calculating statistics of the standard model using statistics of the at least one reference model stored in said reference model storing unit,
• wherein said standard model creating unit includes:
• a standard model structure determining unit operable to determine a structure of the standard model which is to be created;
• an initial standard model creating unit operable to determine, on the basis of a class ID that identifies a type of the standard model, initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating unit operable to estimate and calculate the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A method of creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said method comprising:

• a reference model reading step of selecting and reading, on the basis of usage information regarding an attribute which is an object of speech recognition, at least one reference model from a reference model storing unit which is operable to store at least one reference model that is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating step of creating the standard model by calculating statistics of the standard model using statistics of the at least one reference model read in said reference model reading step,
• wherein said standard model creating step includes:
• a standard model structure determining sub-step of determining a structure of the standard model which is to be created;
• an initial standard model creating sub-step of determining initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating sub-step of estimating and calculating the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A program for a standard model creating apparatus which creates a standard model that shows an acoustic characteristic having a specific attribute and that is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said program comprising:

• a reference model reading step of selecting and reading, on the basis of usage information regarding an attribute which is an object of speech recognition, at least one reference model from a reference model storing unit which is operable to store at least one reference model that is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating step of creating the standard model by calculating statistics of the standard model using statistics of the at least one reference model read in said reference model reading step,
• wherein said standard model creating step includes:
• a standard model structure determining sub-step of determining a structure of the standard model which is to be created;
• an initial standard model creating sub-step of determining initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating sub-step of estimating and calculating the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A method of creating a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said method comprising:

• a reference model reading step of reading at least one reference model from a reference model storing unit which is operable to store at least one reference model that is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating step of creating the standard model by calculating statistics of the standard model using statistics of the at least one reference model that has been read,
• wherein said standard model creating step includes:
• a standard model structure determining sub-step operable to determine a structure of the standard model which is to be created, on the basis of at least one of:
• specification information regarding specifications of the standard model which is to be created;
• and usage information regarding an attribute which is an object of speech recognition;
• an initial standard model creating sub-step of determining initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating sub-step of estimating and calculating the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.

A program for a standard model creating apparatus which creates a standard model which shows an acoustic characteristic having a specific attribute and is used for speech recognition, using a probability model that expresses a frequency parameter showing an acoustic characteristic as an output probability, said method comprising:

• a reference model reading step of reading at least one reference model from a reference model storing unit which is operable to store at least one reference model that is a probability model showing an acoustic characteristic having a specific attribute;
• and
• a standard model creating step of creating the standard model by calculating statistics of the standard model using statistics of the at least one reference model that has been read,
• wherein said standard model creating step includes:
• a standard model structure determining sub-step operable to determine a structure of the standard model which is to be created, on the basis of at least one of:
• specification information regarding specifications of the standard model which is to be created;
• and usage information regarding an attribute which is an object of speech recognition;
• an initial standard model creating sub-step of determining initial values of the statistics specifying the standard model whose structure has been determined;
• and
• a statistics estimating sub-step of estimating and calculating the statistics of the standard model so as to maximize or locally maximize a probability or a likelihood of the standard model, whose initial values have been determined, with respect to the reference model.