Data generation apparatus and data generation method that generate recognition text from speech data

A data generation method comprising:

• generating first speech data from an original text;
• generating a recognition text from the first speech data by speech recognition, the recognition text being generated using an acoustic model and a language model, the acoustic model and the language model having been previously learned;
• performing matching between the original text and the recognition text;
• generating a dataset based on a result of the matching in such a manner that second speech data that has brought about the recognition text where a matching degree to the original text satisfies a certain condition is associated with the original text, the dataset including the second speech data and the original text, the second speech data being included in the first speech data;
• and
• if a difference between the recognition text generated from the first speech data and the original text is more than a threshold, generating third speech data assigned at least one of a pronunciation or an accent which is different from that assigned for generating the first speech data.

A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method comprising:

• generating first speech data from an original text;
• generating a recognition text from the first speech data by speech recognition, the recognition text being generated using an acoustic model and a language model, the acoustic model and the language model having been previously learned,
• performing matching between the original text and the recognition text;
• generating a dataset based on a result of the matching in such a manner that second speech data that has brought about the recognition text where a matching degree to the original text satisfies a certain condition is associated with the original text, the dataset including the second speech data and the original text, the second speech data being included in the first speech data;
• and
• if a difference between the recognition text generated from the first speech data and the original text is more than a threshold, generating third speech data assigned at least one of a pronunciation or an accent which is different from that assigned for generating the first speech data.