1. A method comprising: receiving a speech query for a name in a directory of names; retrieving matches to the query, the matches comprising a first match and a second match that are one of homophonic and near-homophonic; identifying first meta-data that is unique to and associated with the first match and second meta-data that is unique to and associated with the second match; identifying, via an analysis of the first meta-data and the second meta-data, a first meta-data component of the first meta-data and a second meta-data component of the second meta-data, wherein the first meta-data component and the second meta-data component have a highest strength of difference between the first meta-data and the second meta-data; and presenting a spoken disambiguation statement to a user that incorporates the first meta-data component and the second meta-data component.
1. A method comprising: receiving a speech query for a name in a directory of names; retrieving matches to the query, the matches comprising a first match and a second match that are one of homophonic and near-homophonic; identifying first meta-data that is unique to and associated with the first match and second meta-data that is unique to and associated with the second match; identifying, via an analysis of the first meta-data and the second meta-data, a first meta-data component of the first meta-data and a second meta-data component of the second meta-data, wherein the first meta-data component and the second meta-data component have a highest strength of difference between the first meta-data and the second meta-data; and presenting a spoken disambiguation statement to a user that incorporates the first meta-data component and the second meta-data component. 4. The method of claim 1 , wherein a threshold is used to determine near-homophones.