1. A method comprising: receiving input from a user identifying at least a first portion and a second portion of a first set of audio signals as being of interest to the user, wherein the first portion corresponds to a first instance of an entire spoken event of interest in the first set of audio signals and the second portion corresponds to a second instance of the entire spoken event of interest in the first set of audio signals; processing, by a query recognizer of a word spotting system, each identified portion of the first set of audio signals to generate a corresponding subword unit representation of the identified portion; forming, by the query recognizer of the word spotting system, a representation of the entire spoken event of interest, wherein the forming includes combining the subword unit representations of the respective identified portions of the first set of audio signals; accepting, by a word spotting engine of the word spotting system, data representing unknown speech in a second audio signal; and locating, by the word spotting engine of the word spotting system, putative instances of the entire spoken event of interest in the second audio signal using the representation of the spoken event of interest, wherein the locating includes identifying time locations of the second audio signal at which the entire spoken event of interest is likely to have occurred based on a comparison of the data representing the unknown speech with the representation of the entire spoken event of interest, wherein the first instance of the entire spoken event of interest and the second instance of the entire spoken event of interest include a common set of words, and wherein the subword unit representation corresponding to the first portion and the subword unit representation corresponding to the second portion are different.
1. A method comprising: receiving input from a user identifying at least a first portion and a second portion of a first set of audio signals as being of interest to the user, wherein the first portion corresponds to a first instance of an entire spoken event of interest in the first set of audio signals and the second portion corresponds to a second instance of the entire spoken event of interest in the first set of audio signals; processing, by a query recognizer of a word spotting system, each identified portion of the first set of audio signals to generate a corresponding subword unit representation of the identified portion; forming, by the query recognizer of the word spotting system, a representation of the entire spoken event of interest, wherein the forming includes combining the subword unit representations of the respective identified portions of the first set of audio signals; accepting, by a word spotting engine of the word spotting system, data representing unknown speech in a second audio signal; and locating, by the word spotting engine of the word spotting system, putative instances of the entire spoken event of interest in the second audio signal using the representation of the spoken event of interest, wherein the locating includes identifying time locations of the second audio signal at which the entire spoken event of interest is likely to have occurred based on a comparison of the data representing the unknown speech with the representation of the entire spoken event of interest, wherein the first instance of the entire spoken event of interest and the second instance of the entire spoken event of interest include a common set of words, and wherein the subword unit representation corresponding to the first portion and the subword unit representation corresponding to the second portion are different. 13. The method of claim 1 , further comprising accepting a selection by the user of portions of stored data from the first set of audio signals, and processing the portions of the stored data to form a processed query.