Abstract: A method of generating an audio content index for use by a search engine includes determining a phoneme sequence based on recognized speech from an audio content time segment. The method also includes identifying k-phonemes which occur within the phoneme sequence. The identified k-phonemes are stored within a data structure such that the identified k-phonemes are capable of being compared with k-phonemes from a search query.

Abstract: A method of recognizing speech includes extracting textual content from a visual content time segment associated with a rich media presentation. A textual content input comprising a word from the extracted textual content is created. The textual content input is provided to an automatic speech recognition algorithm such that there is an increased probability that the automatic speech recognition algorithm recognizes the word within an audio content time segment associated with the rich media presentation.

Abstract: A method of generating a set of search results. An audio content search results set including an individual audio content search result corresponding to a rich media time segment is generated. A visual content search results set including an individual visual content search result corresponding to the rich media time segment is also generated. A relevance of the rich media time segment is determined based at least in part on an individual search result count. The individual search result count is a sum of a number of individual audio content search results corresponding to the rich media time segment and a number of individual visual content search results corresponding to the rich media time segment. The rich media time segment is included in an ordered set of search results, wherein an order of the rich media time segment is based at least in part on the determined relevance.

Abstract: A method of generating an audio content index for use by a search engine includes determining a phoneme sequence based on recognized speech from an audio content time segment. The method also includes identifying k-phonemes which occur within the phoneme sequence. The identified k-phonemes are stored within a data structure such that the identified k-phonemes are capable of being compared with k-phonemes from a search query.