Abstract: A method, apparatus, and signal-bearing medium that filter data based on a criteria. In an embodiment, the criteria may be related to filtering out unwanted or junk input data. In another embodiment, the criteria may be related to filtering based on desired data. In various embodiments, the data may be email, email attachments, faxes, popup windows, telephone messages, downloaded data or programs, image data, or other data. In a embodiment, a training mode and an automatic mode are provided. During the training mode, a user may be presented with data that may be junk, and feedback may be provided that is used to train a junk filter. During an automatic mode, junk data may be removed from view, transferred to a junk box, or highlighted.

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: Systems, apparatus, methods and computer program products are described for producing text-to-speech synthesis with non-speech sounds. In general, some of the pauses or silences that would otherwise be generated in synthesized speech are instead synthesized as non-speech sounds such as breaths. Non-speech sounds can be identified from pre-recorded speech that can include meta-data such as the grammatical and phrasal structure of words and sounds that precede and succeed non-speech sounds. A non-speech sound can be selected for use in synthesized speech based on the words, punctuation, grammatical and phrasal structure of text from which the speech is being synthesized, or other characteristics.

Abstract: Apparatus, methods and systems for creating mosaics are described. A method is provided that includes identifying an image for presentation as a mosaic; dividing the identified image into a plurality of tiles; scoring each tile; identifying a matching image from an image dataset using the score for each tile; and rendering the mosaic using the matching images.

Abstract: A method and apparatus is provided for generating speech that sounds more natural. In one embodiment, word prominence and latent semantic analysis are used to generate more natural sounding speech. A method for generating speech that sounds more natural may comprise generating synthesized speech having certain word prominence characteristics and applying a semantically-driven word prominence assignment model to specify word prominence consistent with the way humans assign word prominence. A speech representative of a current sentence is generated. The determination is made whether information in the current sentence is new or previously given in accordance with a semantic relationship between the current sentence and a number of preceding sentences. A word prominence is assigned to a word in the current sentence in accordance with the information determination.

Abstract: An extended finite state grammar structure is generated from a finite state grammar. The extended finite state grammar structure includes word subgraphs representing a set of pre-defined word strings for words in the finite state grammar, and a set of all possible word strings for the words. The extended finite state grammar structure can be used to transform audio input into one or more of the word strings.

Abstract: Methods, apparatus, systems, and computer program products are provided for synthesizing speech. One method includes matching a first level of units of a received input string to audio segments from a plurality of audio segments including using properties of or between first level units to locate matching audio segments from a plurality of selections, parsing unmatched first level units into second level units, matching the second level units to audio segments using properties of or between the units to locate matching audio segments from a plurality of selections and synthesizing the input string, including combining the audio segments associated with the first and second units.

Abstract: A method and apparatus for filtering messages comprising determining a first semantic anchor corresponding to a first group of messages, for example, legitimate messages and a second semantic anchor corresponding to a second group of messages, for example, unsolicited messages. Determining a vector corresponding to an incoming message; comparing the vector corresponding to the incoming message with at least one of the first semantic anchor and the second semantic anchor to obtain a first comparison value and a second comparison value; and filtering the incoming message based on the first comparison value and the second comparison value.

Abstract: A method and apparatus to use semantic inference with speech recognition systems includes recognizing at least one spoken word, processing the spoken word using a context-free grammar, deriving an output from the context-free grammar, and translating the output to a predetermined command.

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 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: 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 and apparatus for filtering messages comprising determining a first semantic anchor corresponding to a first group of messages, for example, legitimate messages and a second semantic anchor corresponding to a second group of messages, for example, unsolicited messages. Determining a vector corresponding to an incoming message; comparing the vector corresponding to the incoming message with at least one of the first semantic anchor and the second semantic anchor to obtain a first comparison value and a second comparison value; and filtering the incoming message based on the first comparison value and the second comparison value.

Abstract: A method and apparatus for command recognition using data-driven semantic inference includes recognizing a sequence of words received as the voice command. Data-driven semantic inference is then used with the recognized sequence of words to recognize the voice command. Thus, the command is identified on the basis of the semantics of words of the spoken command rather than the particular grammar of each of predetermined different ways the command could be worded.

Abstract: Coded text is converted to phonetic data to drive a synthesis filter. Accent data are also obtained to derive a pitch contour for a variable pitch excitation source. Recognition of the beginning of a paragraph causes a pitch contour of higher pitch than the pitch at a later part of the paragraph. The initial pitch falls following each subgroup into which phrases are divided. Accents within a phrase are assigned pitch values which are high for the first accent, less high for the last; and the remainder alternate between higher and lower lesser values. Accents on repeated words may be suppressed.