Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.

Abstract: Methods for beat synchronization between media assets are described. In one embodiment, beat synchronized media mixes can be automatically created. By way of example, a beat synchronized event mix can be created by selecting a plurality of media assets, arranging the media assets into an unsynchronized media mix, determining the a profile of each of the media assets in the media mix, automatically beatmatching the beats of adjacent media assets in the media mix, and automatically beatmixing the beats of adjacent beatmatched media assets to create the beat-synchronized media mix. The media assets that can be used include both audio and video media. Media assets are selected based on a specific set of media asset selection criteria, which can include music speed or tempo, music genre, music intensity, media asset duration, user rating, and music mood.

Abstract: A dictation computer that includes a fan speed regulator is described. The fan speed regulator monitors a speech recognition unit to determine when the speech recognition unit is activated. Upon detection that the speech recognition unit is activated, the fan speed regulator ducks the speed of a cooling fan embedded within the dictation computer to an optimized speed of rotation over a delay time interval. The fan speed regulator may include components to adapt the optimized speed and delay time to the characteristics of the dictation computer and the user. Other embodiments are also described.

Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.

Abstract: Methods for beat synchronization between media assets are described. In one embodiment, beat synchronized media mixes can be automatically created. By way of example, a beat synchronized event mix can be created by selecting a plurality of media assets, arranging the media assets into an unsynchronized media mix, determining the a profile of each of the media assets in the media mix, automatically beatmatching the beats of adjacent media assets in the media mix, and automatically beatmixing the beats of adjacent beatmatched media assets to create the beat-synchronized media mix. The media assets that can be used include both audio and video media. Media assets are selected based on a specific set of media asset selection criteria, which can include music speed or tempo, music genre, music intensity, media asset duration, user rating, and music mood.

Abstract: Methods for beat synchronization between media assets are described. In one embodiment, beat synchronized media mixes can be automatically created. By way of example, a beat synchronized event mix can be created by selecting a plurality of media assets, arranging the media assets into an unsynchronized media mix, determining the a profile of each of the media assets in the media mix, automatically beatmatching the beats of adjacent media assets in the media mix, and automatically beatmixing the beats of adjacent beatmatched media assets to create the beat-synchronized media mix. The media assets that can be used include both audio and video media. Media assets are selected based on a specific set of media asset selection criteria, which can include music speed or tempo, music genre, music intensity, media asset duration, user rating, and music mood. A beat synchronized event mix can be subdivided into one or more event mix segments. Each event mix segment can have its own selection criteria.

Abstract: Methods for beat synchronization between media assets are described. In one embodiment, beat synchronized media mixes can be automatically created. By way of example, a beat synchronized event mix can be created by selecting a plurality of media assets, arranging the media assets into an unsynchronized media mix, determining the a profile of each of the media assets in the media mix, automatically beatmatching the beats of adjacent media assets in the media mix, and automatically beatmixing the beats of adjacent beatmatched media assets to create the beat-synchronized media mix. The media assets that can be used include both audio and video media. Media assets are selected based on a specific set of media asset selection criteria, which can include music speed or tempo, music genre, music intensity, media asset duration, user rating, and music mood. A beat synchronized event mix can be subdivided into one or more event mix segments. Each event mix segment can have its own selection criteria.

Abstract: A speech recognition device with a frequency range with an upper frequency limit fmax is provided. The speech recognition device has more than two microphones with distances between the microphones, wherein the greatest common factor of the distances between the microphones is less than the speed of sound divided by fmax. More particularly, where the microphones are spaced a total distance, the number of the more than two microphones is less than the one half the total distance times the upper frequency limit divided by the speed of sound.

Abstract: A method for speech recognition is provided. Generally, a first signal is generated from a first microphone. The first signal is transformed to coefficients. The coefficients from the first signal are inputted to a multiple channel noise rejection device. A second signal is generated from a second microphone. The second signal is transformed to coefficients. The coefficients from the second signal are inputted to the multiple channel noise rejection device. Coefficients from the multiple channel noise rejection device, which are dependent on coefficients from the first signal and coefficients from the second signal, are provided to an acoustic model selector. Acoustic model hypotheses are chosen based on the coefficients from the multiple channel noise rejection device.

Abstract: An improved speech recognition device is provided. The speech recognition device comprises a display with at least two built in microphones and a speech recognition module electrically connected to the display. The speech recognition module uses an algorithm that may take into account the position of the built in microphone on the display. The display may have a first axis of rotation where the microphones may be placed an equal distance from the first axis of rotation.

Abstract: A speech recognition device with a frequency range with an upper frequency limit fmax is provided. The speech recognition device has more than two microphones with distances between the microphones, wherein the greatest common factor of the distances between the microphones is less than the speed of sound divided by fmax. More particularly, where the microphones are spaced a total distance, the number of the more than two microphones is less than the one half the total distance times the upper frequency limit divided by the speed of sound.