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1067 results about "Confidence score" patented technology
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Confidence is a score that accompanies each aggregate (agg) result in a Figure Eight job. It describes the level of agreement between multiple contributors (weighted by the contributors’ trust scores), and indicates our “confidence” in the validity of the result.
Dynamic speech sharpening
ActiveUS7634409B2Enhancing automated speech interpretationImprove accuracySpeech recognitionSyllableVerbal expression
Owner:DIALECT LLC
System and method for processing text utilizing a suite of disambiguation techniques
The invention relates to a system and method for processing natural language text utilizing disambiguation components to identify a disambiguated sense for the text. For the method, it comprises applying a selection of the components to the text to identify a local disambiguated sense for the text. Each component provides a local disambiguated sense of the text with a confidence score and a probability score. The disambiguated sense is determined utilizing a selection of local disambiguated senses. The invention also relates to a system and method for generating sense-tagged text. For the method, it comprises steps of: disambiguating a quantity of documents utilizing a disambiguation component; generating a confidence score and a probability score for a sense identified for a word provided by the component; if the confidence score for the sense for the word is below a set threshold, the sense is ignored; and if the confidence score for the sense for the word is above the set threshold, the sense is added to the sense-tagged text.
Owner:IDILIA
Increasing confidence of allele calls with molecular counting
ActiveUS8481292B2Easy to analyzeSugar derivativesMicrobiological testing/measurementSequence analysisNucleotide
Aspects of the present invention include methods and compositions for determining the number of individual polynucleotide molecules originating from the same genomic region of the same original sample that have been sequenced in a particular sequence analysis configuration or process. In these aspects of the invention, a degenerate base region (DBR) is attached to the starting polynucleotide molecules that are subsequently sequenced (e.g., after certain process steps are performed, e.g., amplification and / or enrichment). The number of different DBR sequences present in a sequencing run can be used to determine / estimate the number of different starting polynucleotides that have been sequenced. DBRs can be used to enhance numerous different nucleic acid sequence analysis applications, including allowing higher confidence allele call determinations in genotyping applications.
Owner:AGILENT TECH INC
Speech recognition system having multiple speech recognizers
InactiveUS7228275B1Reduce intensityExcessive signalingSpeech recognitionSpeech identificationDecision taking
A speech recognition system recognizes an input speech signal by using a first speech recognizer and a second speech recognizer each coupled to a decision module. Each of the first and second speech recognizers outputs first and second recognized speech texts and first and second associated confidence scores, respectively, and the decision module selects either the first or the second speech text depending upon which of the first or second confidence score is higher. The decision module may also adjust the first and second confidence scores to generate first and second adjusted confidence scores, respectively, and select either the first or second speech text depending upon which of the first or second adjusted confidence scores is higher. The first and second confidence scores may be adjusted based upon the location of a speaker, the identity or accent of the speaker, the context of the speech, and the like.
Owner:TOYOTA INFOTECHNOLOGY CENT CO LTD +1
Domain-based dialog speech recognition method and apparatus
A domain-based speech recognition method and apparatus, the method including: performing speech recognition by using a first language model and generating a first recognition result including a plurality of first recognition sentences; selecting a plurality of candidate domains, by using a word included in each of the first recognition sentences and having a confidence score equal to or higher than a predetermined threshold, as a domain keyword; performing speech recognition with the first recognition result, by using an acoustic model specific to each of the candidate domains and a second language model and generating a plurality of second recognition sentences; and selecting at least one or more final recognition sentence from the first recognition sentences and the second recognition sentences. According to this method and apparatus, the effect of a domain extraction error by misrecognition of a word on selection of a final recognition result can be minimized.
Owner:SAMSUNG ELECTRONICS CO LTD
Evidence diffusion among candidate answers during question answering
ActiveUS20130018652A1Digital data information retrievalSpecial data processing applicationsQuestion answerMachine learning
Owner:INT BUSINESS MASCH CORP
Dynamic speech sharpening
ActiveUS20070055525A1Enhancing automated speech interpretationImprove accuracySpeech recognitionSyllableContext based
An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.
Owner:DIALECT LLC
Navigation system with point of interest classification mechanism and method of operation thereof
A method of operation of a navigation system includes: generating a training data from a randomly sampled uncategorized point of interest; generating a trained classifier model by training a classifier model using the training data; generating a category identifier, a confidence score, or a combination thereof for an uncategorized point of interest using the trained classifier model; generating a categorized point of interest by assigning the category identifier to the uncategorized point of interest; calculating a weighted confidence score based on a weighted F-measure for the category identifier, a pair of the category identifier and the confidence score; and consolidating the categorized point of interest based on the weighted confidence score for the category identifier being meeting or exceeding a threshold for displaying on a device.
Owner:TELENAV INC
Confidently adding snippets of search results to clusters of objects
ActiveUS9760620B2Quality improvementMetadata text retrievalRelational databasesEmail addressData mining
Systems and methods are provided for matching snippets of search results to clusters of objects. A system adds a data snippet of a search result to a cluster of objects. The system calculates a confidence score for the add based on the recency, a job title, an email address, and / or a phone number associated with the data snippet. The system stores the add in the customer accessible database if the confidence score is sufficiently high for the add to be stored in the customer accessible database. The system generates a notice for review if the confidence score is not sufficiently high for the add to be stored in the customer accessible database.
Owner:SALESFORCE COM INC
Methods for Associating Records in Healthcare Databases with Individuals
ActiveUS20070299697A1Data processing applicationsDigital data information retrievalData miningWeighted score
Methods for associating healthcare records in healthcare databases with an individual are provided. One or more attribute types are located in first and second records. The one or more attribute types being associated with the individual. A weighted score is determined for the located at least one attribute type based on a comparison of the located at least one attribute type in the first record and the located at least one attribute type in the second record. The weighted score indicates a likelihood that the located at least one attribute type in the first and second records are both associated with the individual. A confidence is provided and is associated with the first and second records based on the weighted score. The confidence score indicates a likelihood that both the first and second records are associated with the individual.
Owner:KYNDRYL INC
Object detection and detection confidence suitable for autonomous driving
ActiveUS20190258878A1Accurately indicatedFalse detectionScene recognitionMachine learningGround truthObject-class detection
In various examples, detected object data representative of locations of detected objects in a field of view may be determined. One or more clusters of the detected objects may be generated based at least in part on the locations and features of the cluster may be determined for use as inputs to a machine learning model(s). A confidence score, computed by the machine learning model(s) based at least in part on the inputs, may be received, where the confidence score may be representative of a probability that the cluster corresponds to an object depicted at least partially in the field of view. Further examples provide approaches for determining ground truth data for training object detectors, such as for determining coverage values for ground truth objects using associated shapes, and for determining soft coverage values for ground truth objects.
Owner:NVIDIA CORP
User adaptive speech recognition method and apparatus
ActiveUS20060200347A1Reduce frequencyIncrease success rateSpeech recognitionSpeech soundConfidence score
A user adaptive speech recognition method and apparatus is disclosed that controls user confirmation of a recognition candidate using a new threshold value adapted to a user. The user adaptive speech recognition method includes calculating a confidence score of a recognition candidate according to the result of speech recognition, setting a new threshold value adapted to the user based on a result of user confirmation of the recognition candidate and the confidence score of the recognition candidate, and outputting a corresponding recognition candidate as a result of the speech recognition if the calculated confidence score is higher than the new threshold value. Thus, the need for user confirmation of the result of speech recognition is reduced and the probability of speech recognition success is increased.
Owner:SAMSUNG ELECTRONICS CO LTD
Adaptive secondary authentication criteria based on account data
ActiveUS20140189829A1Digital data processing detailsMultiple digital computer combinationsQuestion generationInternet privacy
An authentication challenge system for performing secondary authentication for an account associated with an online store is described. In one embodiment, the authentication challenge system includes a question generation engine, which can derive a series of questions based upon activity associated with a user account of an online store; a network interface, which can transport the series of one or more questions derived by the question generation engine to authenticate the user to the online store; a confidence engine, which can determine a required confidence level for a successful authentication, and can compute a confidence score of the user identity; and a quality engine, which can adjust the question generation engine and the confidence engine based upon an analysis of question and answer metrics across multiple accounts of the online store. The online store can include digital media, such as music, movies, books or applications for electronic computing devices.
Owner:APPLE INC
Information processing apparatus, control method therefor, and program
When positional information in an operation window is input (designated), an interpretation result for an input position and a confidence score of the interpretation result are calculated on the basis of the input position information. Assume that a plurality of candidates are present as interpretation results. In presenting the candidates as the interpretation results in this case, the display contents are so changed as to have an enlarged image of a range within which the candidates as the interpretation results fall or the candidates are output using a changed output modality.
Owner:CANON KK
Influencing a voice recognition matching operation with user barge-in time
ActiveUS7069213B2Improve accuracySupplement accuracyAutomatic call-answering/message-recording/conversation-recordingSpeech recognitionItem generationSpeech identification
A system, method and computer program product for automated voice recognition using the barge-in time of a user's utterance is provided. A list of items is audibly provided to a user. The user selects one item from the list by providing an utterance representing the user's selection. The utterance time (i.e., the barge-in time) is calculated from the utterance of the user. Then, the utterance is compared to each item in the list so as to generate a confidence score for each item in the list, with the confidence score being based on the similarity between the item and the utterance. The confidence scores are also based on the barge-in time. One of the items from the list is selected based on the confidence scores of the items.
Owner:VLINGO CORP +1
System and method for vehicle detection and tracking
A system and method for detecting and tracking an object is disclosed. A camera captures a video sequence comprised of a plurality of image frames. A processor receives the video sequence and analyzes each image frame to determine if an object is detected. The processor applies one or more classifiers to an object in each image frame and computes a confidence score based on the application of the one or more classifiers to the object. A database stores the one or more classifiers and vehicle training samples. A display displays the video sequence.
Owner:CONTINENTAL AUTOMOTIVE GMBH
Method of weighting speech recognition grammar responses using knowledge base usage data
A method of speech recognition is provided for use in searching a knowledge database. A spoken command is communicated to a system. The spoken command is responded to with a set comprising a plurality of keywords. The plurality of keywords is arranged in a best possible set of matches which set of matches is derived by mathematically combining a speech recognition confidence score and a keyword weighting score. The best possible set of matches is then provided to the user.
Owner:ORACLE OTC SUBSIDIARY
On-Screen Guideline-Based Selective Text Recognition
ActiveUS20110123115A1Television system detailsColor television detailsText recognitionStream capture
A live video stream captured by an on-device camera is displayed on a screen with an overlaid guideline. Video frames of the live video stream are analyzed for a video frame with acceptable quality. A text region is identified in the video frame approximate to the on-screen guideline and cropped from the video frame. The cropped image is transmitted to an optical character recognition (OCR) engine, which processes the cropped image and generates text in an editable symbolic form (the OCR'ed text). A confidence score is determined for the OCR'ed text and compared with a threshold value. If the confidence score exceeds the threshold value, the OCR'ed text is outputted.
Owner:GOOGLE LLC
Method of speech recognition by presenting N-best word candidates
A method for performing speech recognition can include receiving user speech and determining a plurality of potential candidates. Each of the candidates can provide a textual interpretation of the speech. Confidence scores can be calculated for the candidates. The confidence scores can be compared to a predetermined threshold. Also, selected ones of the plurality of candidates can be presented to the user as alternative interpretations of the speech when none of the confidence scores is greater than the predetermined threshold. The selected ones of the plurality of candidates can have confidence scores above a predetermined minimum threshold, and thus can have confidence scores within a predetermined range.
Owner:NUANCE COMM INC
Methods and Software for Detecting Objects in an Image Using Contextual Multiscale Fast Region-Based Convolutional Neural Network
ActiveUS20180068198A1Character and pattern recognitionNeural architecturesNerve networkContext based
Methods of detecting an object in an image using a convolutional neural-network-based architecture that processes multiple feature maps of differing scales from differing convolution layers within a convolutional network to create a regional-proposal bounding box. The bounding box is projected back to the feature maps of the individual convolution layers to obtain a set of regions of interest (ROIs) and a corresponding set of context regions that provide additional context for the ROIs. These ROIs and context regions are processed to create a confidence score representing a confidence that the object detected in the bounding box is the desired object. These processes allow the method to utilize deep features encoded in both the global and the local representation for object regions, allowing the method to robustly deal with challenges in the problem of object detection. Software for executing the disclosed methods within an object-detection system is also disclosed.
Owner:CARNEGIE MELLON UNIV
Method and system for speech recognition
InactiveUS20130311184A1Improve speech recognition accuracyImprove accuracySpeech recognitionSpeech identificationAcoustic model
A method and a system for speech recognition are provided. In the method, vocal characteristics are captured from speech data and used to identify a speaker identification of the speech data. Next, a first acoustic model is used to recognize a speech in the speech data. According to the recognized speech and the speech data, a confidence score of the speech recognition is calculated and it is determined whether the confidence score is over a threshold. If the confidence score is over the threshold, the recognized speech and the speech data are collected, and the collected speech data is used for performing a speaker adaptation on a second acoustic model corresponding to the speaker identification.
Owner:ASUSTEK COMPUTER INC
Utilizing large-scale knowledge graphs to support inference at scale and explanation generation
ActiveUS20150379414A1Reduce the amount requiredImprove database lookupDigital computer detailsKnowledge representationTheoretical computer scienceConfidence score
Aspects discussed herein present a solution for utilizing large-scale knowledge graphs for inference at scale and generating explanations for the conclusions. In some embodiments, aspects discussed herein learn inference paths from a knowledge graph and determine a confidence score for each inference path. Aspects discussed herein may apply the inference paths to the knowledge graph to improve database lookup, keyword searches, inferences, etc. Aspects discussed herein may generate a natural language explanation for each conclusion or result from one or more inference paths that led to that conclusion or result. Aspects discussed herein may present the best conclusions or results to the user based on selection strategies. The presented results or conclusions may include generated natural language explanations rather than links to documents with word occurrences highlighted.
Owner:NUANCE COMM INC
Method and system for facilitating a guided dialog between a user and a conversational agent
ActiveUS20180075847A1Digital data information retrievalSpeech recognitionHuman–computer interactionConfidence score
The present teaching relates to facilitating a guided dialog with a user. In one example, an input utterance is obtained from the user. One or more task sets are estimated based on the input utterance. Each of the one or more task sets includes a plurality of tasks estimated to be requested by the user via the input utterance and is associated with a confidence score computed based on statistics with respect to the plurality of tasks in the task set. At least one of the one or more task sets is selected based on their respective confidence scores. A response is generated based on the tasks in the selected at least one task set. The response is provided to the user.
Owner:VERIZON PATENT & LICENSING INC
Method and apparatus for using confidence scores of enhanced metadata in search-driven media applications
InactiveUS20070106660A1Digital data information retrievalSpecial data processing applicationsConfidence scoreMetadata
According to one aspect, a computerized method and apparatus for generating and presenting search snippets that enable user-directed navigation of the underlying audio / video content. The method involves obtaining metadata associated with discrete media content that satisfies a search query. The metadata identifies a number of content segments and corresponding timing information derived from the underlying media content using one or more automated media processing techniques. Using the timing information identified in the metadata, a search result or “snippet” can be generated that enables a user to arbitrarily select and commence playback of the underlying media content at any of the individual content segments.
Owner:EVERYZING
Method of building a validation database
InactiveUS20090094270A1Easy and quick correctionValid matchGeographical information databasesSpecial data processing applicationsExact matchData source
A validation database (VDB) is built from geographic reference data sources such as MSAG and USPS using automatic address correlation, and links between the records are stored in the VDB. The automatic address correlation employs multiple correlation algorithms, and a score is assigned to each link representing a confidence level. The score is based on a combination of results from the different algorithms. Links having a score representing a partial or exact match are used for address validation purposes. A management interface allows the VDB agent to edit master records and the links, including the score. A remote subscriber can request validation of a proposed address from the VDB, and may include match criteria with the request. If any matches are found, a validation reply is sent from the VDB to the subscriber with the corresponding MSAG records.
Owner:WEST SAFETY SERVICES INC
Methods and Software For Detecting Objects in Images Using a Multiscale Fast Region-Based Convolutional Neural Network
Methods of detecting an object in an image using a convolutional neural network based architecture that processes multiple feature maps of differing scales from differing convolution layers within a convolutional network to create a regional-proposal bounding box. The bounding box is projected back to the feature maps of the individual convolution layers to obtain a set of regions of interest. These regions of interest are then processed to ultimately create a confidence score representing the confidence that the object detected in the bounding box is the desired object. These processes allow the method to utilize deep features encoded in both the global and the local representation for object regions, allowing the method to robustly deal with challenges in the problem of robust object detection. Software for executing the disclosed methods within an object-detection system is also disclosed.
Owner:CARNEGIE MELLON UNIV
Confidently adding snippets of search results to clusters of objects
ActiveUS20150032738A1Quality improvementMetadata text retrievalDigital data processing detailsEmail addressData mining
Systems and methods are provided for matching snippets of search results to clusters of objects. A system adds a data snippet of a search result to a cluster of objects. The system calculates a confidence score for the add based on the recency, a job title, an email address, and / or a phone number associated with the data snippet. The system stores the add in the customer accessible database if the confidence score is sufficiently high for the add to be stored in the customer accessible database. The system generates a notice for review if the confidence score is not sufficiently high for the add to be stored in the customer accessible database.
Owner:SALESFORCE COM INC
Computer program, method, and system for detecting fraudulently filed tax returns
Embodiments of the invention detect fraudulently filed tax returns when a user prepares or submits a subject tax return that relates to a subject taxpayer for filing with a government taxing authority. Embodiments analyze tax information of various sources to determine whether the subject tax return is genuine (i.e., not fraudulent). The invention determines confidence indicators based upon some or all of a source location, a source type, data entry characteristics, refund vehicle characteristics, internal consistencies, external historical consistencies, external lateral consistencies, user authentication methods, and a taxpayer risk level. Based upon these analyses the invention calculates a taxpayer identity confidence score, which may be utilized to allow or deny the filing of the subject tax return.
Owner:HRB INNOVATIONS
Detection of security incidents with low confidence security events
Techniques are disclosed for detecting security incidents based on low confidence security events. A security management server aggregates a collection of security events received from logs from one or more devices. The security management server evaluates the collection of security events based on a confidence score assigned to each distinct type of security event. Each confidence score indicates a likelihood that a security incident has occurred. The security management server determines, based on the confidence scores, at least one threshold for determining when to report an occurrence of a security incident from the collection of security events. Upon determining that at least one security event of the collection has crossed the at least one threshold, the security management server reports the occurrence of the security incident to an analyst.
Owner:GEN DIGITAL INC
System and Method of Determining a Domain and/or an Action Related to a Natural Language Input
ActiveUS20160148612A1Natural language data processingSpeech recognitionStatistical classificationValue set
The disclosure relates to methods, systems and other embodiments directed to determining an information domain match for a natural language (NL) input (e.g., a spoken utterance), and confirming whether the NL input is correctly matched to the information domain. For example, after receiving an NL input, a first information domain to which the NL input belongs and a feature value set may be determined based on a semantic pattern matching technique. Further, a second information domain to which the NL input belongs, and a corresponding confidence score related to the second information domain may be determined. The second information domain may be determined based on a first statistical classification technique. Based on the determined feature value set and the confidence score related to the second information domain, it may be confirmed whether the NL input correctly belongs to the first information domain, e.g., based on a second statistical classification technique.
Owner:VOICEBOX TECH INC
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