Abstract: System and method to search audio data, including: receiving audio data representing speech; receiving a search query related to the audio data; compiling, by use of a processor, the search query into a hierarchy of scored speech recognition sub-searches; searching, by use of a processor, the audio data for speech identified by one or more of the sub-searches to produce hits; and combining, by use of a processor, the hits by use of at least one combination function to provide a composite search score of the audio data. The combination function may include an at-least-M-of-N function that produces a high score when at least M of N function inputs exceed a predetermined threshold value. The composite search score employ a soft time window such as a spline function.

Abstract: System and method to search audio data, including: receiving audio data representing speech; receiving a search query related to the audio data; compiling, by use of a processor, the search query into a hierarchy of scored speech recognition sub-searches; searching, by use of a processor, the audio data for speech identified by one or more of the sub-searches to produce hits; and combining, by use of a processor, the hits by use of at least one combination function to provide a composite search score of the audio data. The combination function may include an at-least-M-of-N function that produces a high score when at least M of N function inputs exceed a predetermined threshold value. The composite search score employ a soft time window such as a spline function.

Abstract: Apparatus for analyzing non-deterministic results of a search query of data, comprising a processor and a user interface, the processor being operably in communication with a plurality of data sources and adapted to communicate with the user interface which enables the user to query the content of the data sources, wherein the processor is adapted to determine the probable relevance of at least the part of a searched data source for a user query and the user interface is adapted to present to the user the search results in a form comprising two or more portlets, wherein the portlets comprises two or more of: a portlet presenting the search results (such as search strings) for a data source(s); a portlet presenting the data source (such as by source name) of a data source(s); a portlet presenting a data source filter tree for selecting currently active source(s); a portlet presenting the hit(s) of a search query for a data source; a portlet presenting the hit location within a data source; and at least one of

Abstract: A method for phonetically searching media including a plurality of audio tracks is disclosed where each audio track is indexed to provide a phonetic representation of the audio track. The method comprises obtaining a text search query and searching for the text query against a set of reference documents to obtain a sub-set of pseudo-relevant documents. The pseudo-relevant documents are examined for a set of search expressions characterizing the pseudo-relevant documents. A phonetic representation corresponding to at least some of the set of search expressions is provided and for each of the phonetic representations of the search expressions, the indexed phonetic representations for one or more of the plurality of audio tracks is phonetically searched to provide any indicators of the incidence of the search expression within the one or more audio tracks.

Abstract: System and method to search audio data, including: receiving audio data representing speech; receiving a search query related to the audio data; compiling, by use of a processor, the search query into a hierarchy of scored speech recognition sub-searches; searching, by use of a processor, the audio data for speech identified by one or more of the sub-searches to produce hits; and combining, by use of a processor, the hits by use of at least one combination function to provide a composite search score of the audio data. The combination function may include an at-least-M-of-N function that produces a high score when at least M of N function inputs exceed a predetermined threshold value. The composite search score employ a soft time window such as a spline function.

Abstract: Apparatus for analysing non-deterministic results of a search query of data, comprising a processor and a user interface, the processor being operably in communication with a plurality of data sources and adapted to communicate with the user interface which enables the user to query the content of the data sources, wherein the processor is adapted to determine the probable relevance of at least the part of a searched data source for a user query and the user interface is adapted to present to the user the search results in a form comprising two or more portlets, wherein the portlets comprises two or more of: a portlet presenting the search results (suchas search strings) for a data source(s); a portlet presenting the data source (such as by source name) of a data soruce(s); a portlet presenting a data source filter tree for selecting currently active source(s); a portlet presenting the hit(s) of a search query for a data source; a portlet presenting the hit location within a data source; and at least one of t

Abstract: An information processing system (10) receives input data from a keyboard (26), a mouse (28) and spoken data input device (30) in an input data sequence. A microphone (32) converts received speech into electrical signals which are digitized by an analogue to digital converter (100). A digital signal processor (102) converts the digital signals into multi-dimensional vectors which are stored in a temporary input buffer (104). A recognition processor (106) performs a recognition program in order to match the multi-dimensional vectors to speech models. In order that the system (10) may output data in an output data sequence which corresponds to the input data sequence, each data input receives a time stamp. A timing controller (24) ensures that instructions received from either the keyboard or the mouse are output only when those instructions have a time stamp which is earlier than the time stamp of the data most recently processed by the recognition processor.