Speech data analysis device, speech data analysis method and speech data analysis program

A speech data analysis device comprising:

• speaker model derivation unit which derives a speaker model defining a voice property per speaker from speech data made of multiple utterances;
• speaker co-occurrence model derivation unit which, by use of the speaker model derived by the speaker model derivation unit, derives a speaker co-occurrence model indicating a strength of a co-occurrence relationship between the speakers from session data which is divided the speech data in units of a series of conversation;
• and
• model structure update unit which, with reference to a session of newly-added speech data, detects predefined events in which a speaker or a cluster as set of speakers changes in the speaker model or the speaker co-occurrence model, and when the event is detected, updates a structure of at least one of the speaker model and the speaker co-occurrence model.

A speech data analysis device comprising:

• speaker model storage unit which stores a speaker model defining a voice property per speaker which is derived from speech data made of multiple utterances;
• speaker co-occurrence model storage unit which stores a speaker co-occurrence model indicating a strength of a co-occurrence relationship between the speakers which is derived from session data which is divided speech data in units of a series of conversation;
• and
• speaker set recognition unit which, by use of the speaker model and the speaker co-occurrence model, calculates a consistency with the speaker model and a consistency with a co-occurrence relationship in entire speech data for each utterance contained in the designated speech data, and recognizes which cluster the designated speech data corresponds to.

A speech data analysis method comprising:

• deriving a speaker model defining a voice property per speaker from speech data made of multiple utterances;
• deriving a speaker co-occurrence model indicating a strength of a co-occurrence relationship between the speakers from session data which is divided speech data in units of a series of conversation by use of the derived speaker model;
• and
• with reference to a session of newly-added speech data, detecting predefined events in which a speaker or a cluster as a set of speakers changes in the speaker model or the speaker co-occurrence model, and when the event is detected, updating a structure of at least one of the speaker model and the speaker co-occurrence model.