Abstract: In one aspect, a method for processing media includes accepting a query. One or more language patterns are identified that are similar to the query. A putative instance of the query is located in the media. The putative instance is associated with a corresponding location in the media. The media in a vicinity of the putative instance is compared to the identified language patterns and data characterizing the putative instance of the query is provided according to the comparing of the media to the language patterns, for example, as a score for the putative instance that is determined according to the comparing of the media to the language patterns.

Abstract: Systems, methods, and apparatus, including computer program products for accepting a predetermined vocabulary-dependent characterization of a set of audio signals, the predetermined characterization including an identification of putative occurrences of each of a plurality of vocabulary items in the set of audio signals, the plurality of vocabulary items included in the vocabulary; accepting a new vocabulary item not included in the vocabulary; accepting putative occurrences of the new vocabulary item in the set of audio signals; and generating, by an analysis engine of a speech processing system, an augmented characterization of the set of audio signals based on the identified putative occurrences of the new vocabulary item.

Abstract: Systems, methods, and apparatus, including computer program products for accepting a predetermined vocabulary-dependent characterization of a set of audio signals, the predetermined characterization including an identification of putative occurrences of each of a plurality of vocabulary items in the set of audio signals, the plurality of vocabulary items included in the vocabulary; accepting a new vocabulary item not included in the vocabulary; accepting putative occurrences of the new vocabulary item in the set of audio signals; and generating, by an analysis engine of a speech processing system, an augmented characterization of the set of audio signals based on the identified putative occurrences of the new vocabulary item.

Abstract: Some general aspects relate to systems and methods for media processing. One aspect, for example, relates to a method for aligning multimedia recording with a transcript. A group of search terms are formed from the transcript, with each search term being associated with a location within the transcript. Putative locations of the search terms are determined in a time interval of the multimedia recording. For each search term, zero or more putative locations are determined and, for at least some of the search terms, multiple putative locations are determined in the time interval of the multimedia recording. According to a first sequencing constraint, a first representation of a group of sequences each of a subset of the putative locations of the search terms is formed. A second representation of a group of sequences each of a subset of the search terms is formed. Using the first and the second representations, the time interval of the multimedia recording is partially aligned with the transcript.

Abstract: In one aspect, a method for processing media includes accepting a query. One or more language patterns are identified that are similar to the query. A putative instance of the query is located in the media. The putative instance is associated with a corresponding location in the media. The media in a vicinity of the putative instance is compared to the identified language patterns and data characterizing the putative instance of the query is provided according to the comparing of the media to the language patterns, for example, as a score for the putative instance that is determined according to the comparing of the media to the language patterns.

Abstract: An approach to alignment of transcripts with recorded audio is tolerant of moderate transcript inaccuracies, untranscribed speech, and significant non-speech noise. In one aspect, a number of search terms are formed from the transcript such that each search term is associated with a location within the transcript. Possible locations of the search terms are then determined in the audio recording. The audio recording and the transcript are then aligned using the possible locations of the search terms. In another aspect a search expression is accepted, and then a search is performed for spoken occurrences of the search expression in an audio recording. This search includes searching for text occurrences of the search expression in a text transcript of the audio recording, and searching for spoken occurrences of the search expression in the audio recording.

Abstract: An approach to alignment of transcripts with recorded audio is tolerant of moderate transcript inaccuracies, untranscribed speech, and significant non-speech noise. In one aspect, a number of search terms are formed from the transcript such that each search term is associated with a location within the transcript. Possible locations of the search terms are then determined in the audio recording. The audio recording and the transcript are then aligned using the possible locations of the search terms. In another aspect a search expression is accepted, and then a search is performed for spoken occurrences of the search expression in an audio recording. This search includes searching for text occurrences of the search expression in a text transcript of the audio recording, and searching for spoken occurrences of the search expression in the audio recording.

Abstract: An approach to alignment of transcripts with recorded audio is tolerant of moderate transcript inaccuracies, untranscribed speech, and significant non-speech noise. In one aspect, a number of search terms are formed from the transcript such that each search term is associated with a location within the transcript. Possible locations of the search terms are then determined in the audio recording. The audio recording and the transcript are then aligned using the possible locations of the search terms. In another aspect a search expression is accepted, and then a search is performed for spoken occurrences of the search expression in an audio recording. This search includes searching for text occurrences of the search expression in a text transcript of the audio recording, and searching for spoken occurrences of the search expression in the audio recording.