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Bellegarda, CA
Jerome Bellegarda, Saratoga, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20080228928 | Multimedia content filtering - Methods and apparatuses to filter multimedia content are described. The multimedia content in one embodiment is analyzed for one or more parameters. The multimedia content in one embodiment is filtered based on the one or more parameters using a latent semantic mapping (“LSM”) filter. In one embodiment, the one or more parameters include information about a structure of the multimedia content. A tag that encapsulates the one or more parameters may be generated. Then, the tag is input into the latent semantic mapping filter. In one embodiment, the LSM filter is trained to recognize the multimedia content based on the one or more parameters. In one embodiment, more than two categories are provided for a multimedia content. The multimedia content is classified in more than two categories using the LSM filter. The multimedia content may be blocked based on the classifying. | 09-18-2008 |
| 20100082327 | SYSTEMS AND METHODS FOR MAPPING PHONEMES FOR TEXT TO SPEECH SYNTHESIS - Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back. | 04-01-2010 |
| 20100082344 | SYSTEMS AND METHODS FOR SELECTIVE RATE OF SPEECH AND SPEECH PREFERENCES FOR TEXT TO SPEECH SYNTHESIS - Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back. | 04-01-2010 |
| 20100082348 | SYSTEMS AND METHODS FOR TEXT NORMALIZATION FOR TEXT TO SPEECH SYNTHESIS - Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back. | 04-01-2010 |
| 20100082349 | SYSTEMS AND METHODS FOR SELECTIVE TEXT TO SPEECH SYNTHESIS - Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back. | 04-01-2010 |
| 20110112825 | SENTIMENT PREDICTION FROM TEXTUAL DATA - A semantically organized domain space is created from a training corpus. Affective data are mapped onto the domain space to generate affective anchors for the domain space. A sentiment associated with an input text is determined based the affective anchors. A speech output may be generated from the input text based on the determined sentiment. | 05-12-2011 |
Jerome Bellegarda, Los Gatos, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20090089058 | Part-of-speech tagging using latent analogy - Methods and apparatuses to assign part-of-speech tags to words are described. An input sequence of words is received. A global fabric of a corpus having training sequences of words may be analyzed in a vector space. A global semantic information associated with the input sequence of words may be extracted based on the analyzing. A part-of-speech tag may be assigned to a word of the input sequence based on POS tags from pertinent words in relevant training sequences identified using the global semantic information. The input sequence may be mapped into a vector space. A neighborhood associated with the input sequence may be formed in the vector space wherein the neighborhood represents one or more training sequences that are globally relevant to the input sequence. | 04-02-2009 |
| 20090132253 | Context-aware unit selection - Methods and apparatuses to perform context-aware unit selection for natural language processing are described. Streams of information associated with input units are received. The streams of information are analyzed in a context associated with first candidate units to determine a first set of weights of the streams of information. A first candidate unit is selected from the first candidate units based on the first set of weights of the streams of information. The streams of information are analyzed in the context associated with second candidate units to determine a second set of weights of the streams of information. A second candidate unit is selected from second candidate units to concatenate with the first candidate unit based on the second set of weights of the streams of information. | 05-21-2009 |
Jerome R. Bellegarda, Saratoga, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20110004475 | METHODS AND APPARATUSES FOR AUTOMATIC SPEECH RECOGNITION - Exemplary embodiments of methods and apparatuses for automatic speech recognition are described. First model parameters associated with a first representation of an input signal are generated. The first representation of the input signal is a discrete parameter representation. Second model parameters associated with a second representation of the input signal are generated. The second representation of the input signal includes a continuous parameter representation of residuals of the input signal. The first representation of the input signal includes discrete parameters representing first portions of the input signal. The second representation includes discrete parameters representing second portions of the input signal that are smaller than the first portions. Third model parameters are generated to couple the first representation of the input signal with the second representation of the input signal. The first representation and the second representation of the input signal are mapped into a vector space. | 01-06-2011 |
Jerome R. Bellegarda, Los Gatos, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20090048836 | DATA-DRIVEN GLOBAL BOUNDARY OPTIMIZATION - Portions from segment boundary regions of a plurality of speech segments are extracted. Each segment boundary region is based on a corresponding initial unit boundary. Feature vectors that represent the portions in a vector space are created. For each of a plurality of potential unit boundaries within each segment boundary region, an average discontinuity based on distances between the feature vectors is determined. For each segment, the potential unit boundary associated with a minimum average discontinuity is selected as a new unit boundary. | 02-19-2009 |
| 20100145691 | GLOBAL BOUNDARY-CENTRIC FEATURE EXTRACTION AND ASSOCIATED DISCONTINUITY METRICS - Portions from time-domain speech segments are extracted. Feature vectors that represent the portions in a vector space are created. The feature vectors incorporate phase information of the portions. A distance between the feature vectors in the vector space is determined. In one aspect, the feature vectors are created by constructing a matrix W from the portions and decomposing the matrix W. In one aspect, decomposing the matrix W comprises extracting global boundary-centric features from the portions. In one aspect, the portions include at least one pitch period. In another aspect, the portions include centered pitch periods. | 06-10-2010 |
Jerome Rene Bellegarda, Saratoga, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20090174667 | Method, Device, and Graphical User Interface Providing Word Recommendations for Text Input - A portable electronic device having a touch screen display performs a set of operations, including displaying a plurality of key icons, each having an adjustable size hit region, and receiving a sequence of individual touch points input by a user on the touch screen display. The operations performed by the device further include processing the received individual touch points by: forming a user-input directed graph for the sequence of individual touch points received so far, determining a character corresponding to a last received individual touch point in accordance with the adjustable hit regions of the displayed key icons, displaying a sequence of characters corresponding to the sequence of individual touch points, and updating sizes of the adjustable hit regions for a plurality of the key icons in accordance with the sequence of individual touch points input by the user. | 07-09-2009 |