1. A computer implemented method for processing media comprising: using a computer to perform the steps of: accepting the media; accepting language data; accepting a query; processing the query using the language data to identify one or more language patterns each having a length larger than a length of a language pattern of the query, each language pattern including a first portion that is acoustically similar to the language pattern of the query and a second portion that is not acoustically similar to the language pattern of the query; locating a putative instance of the query in the media, the putative instance being associated with a first time interval in the media, the locating including determining a match score for the located putative instance of the query to the media in the first time interval; selecting a second time interval of the media according to the first time interval, the second time interval being larger than and including the first time interval; determining a degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; determining a score for the putative instance according to the match score for the located putative instance of the query and to at least one score associated with the determined degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; and providing data characterizing the putative instance of the query according to the determined degree of acoustic similarity, including identifying the putative instance of the query as a potential falsely identified instance of the query based on the determined score for the putative instance.
1. A computer implemented method for processing media comprising: using a computer to perform the steps of: accepting the media; accepting language data; accepting a query; processing the query using the language data to identify one or more language patterns each having a length larger than a length of a language pattern of the query, each language pattern including a first portion that is acoustically similar to the language pattern of the query and a second portion that is not acoustically similar to the language pattern of the query; locating a putative instance of the query in the media, the putative instance being associated with a first time interval in the media, the locating including determining a match score for the located putative instance of the query to the media in the first time interval; selecting a second time interval of the media according to the first time interval, the second time interval being larger than and including the first time interval; determining a degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; determining a score for the putative instance according to the match score for the located putative instance of the query and to at least one score associated with the determined degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; and providing data characterizing the putative instance of the query according to the determined degree of acoustic similarity, including identifying the putative instance of the query as a potential falsely identified instance of the query based on the determined score for the putative instance. 7. The method of claim 1 wherein processing of the query using the language data to identify one or more language patterns that each include the first portion of the pattern that is acoustically similar to the query is performed prior to locating the putative instance of the query.