Abstract: An estimation apparatus clusters a group of voice signals including a voice signal having a speaker attribute to be estimated into a plurality of clusters. Subsequently, the estimation apparatus identifies, from the plurality of clusters, a cluster to which the voice signal to be estimated belongs. Next, the estimation apparatus uses a speaker attribute estimation model to estimate speaker attributes of respective voice signals in the identified cluster. After that, the estimation apparatus estimates an attribute of the entire cluster, by using an estimation result of the speaker attributes of the voice signals in the identified cluster, and outputs an estimation result of the speaker attribute of the entire cluster, as an estimation result of the speaker attribute of the voice signal to be estimated.

Abstract: A data processing device includes processing circuitry configured to extract a second word corresponding to a first word included in first text from among a plurality of words belonging to a predetermined domain, repeat processing in the extraction for all words included in the first text to generate a confusion network that expresses a plurality of sentence possibilities with one network configuration and is an expression format of a word sequence, and search for a grammatically correct word string in the confusion network using a language model that evaluates grammatical correctness of the word string, and select a word string to be output.

Abstract: The extraction unit 132 extracts a second word corresponding to a first word included in a first text from among a plurality of words belonging to a predetermined domain. The determination unit 133 determines whether a predetermined condition for the word class of the first word is satisfied or not. When it is determined by the determination unit 133 that the condition is satisfied, the generation unit 134 generates a second text in which the first word of the first text is exchanged with the second word.

Abstract: An estimation apparatus clusters a group of voice signals including a voice signal having a speaker attribute to be estimated into a plurality of clusters. Subsequently, the estimation apparatus identifies, from the plurality of clusters, a duster to which the voice signal to be estimated belongs. Next, the estimation apparatus uses a speaker attribute estimation model to estimate speaker attributes of respective voice signals in the identified cluster. After that, the estimation apparatus estimates an attribute of the entire cluster, by using an estimation result of the speaker attributes of the voice signals in the identified cluster, and outputs an estimation result of the speaker attribute of the entire cluster, as an estimation result of the speaker attribute of the voice signal to be estimated.