Class / Patent application number | Description | Number of patent applications / Date published |
704247000 | Preliminary matching | 14 |
20080228481 | Content selelction systems and methods using speech recognition - Embodiments of the present invention improve content selection systems and methods using speech recognition. In one embodiment, the present invention includes a speech recognition method comprising storing content on an electronic device, wherein the content is associated with a plurality of content attribute values, adding the content attribute values to a first recognition set of a speech recognizer, receiving a speech input signal in said speech recognizer, generating a plurality of likelihood values in response to the speech input signal, wherein each likelihood value is associated with one content attribute value in the recognition set; and accessing the stored content based on the likelihood values. | 09-18-2008 |
20080243504 | SYSTEM AND METHOD OF SPEECH RECOGNITION TRAINING BASED ON CONFIRMED SPEAKER UTTERANCES - An interactive speech recognition training process and system is disclosed. A speech recognition process is applied to a received speaker utterance. Utterance data are matched by the system with data in a grammar database and the speaker is requested to confirm a determined match. If the system determines from the speaker's response that the match is not confirmed, a negative score is assigned to the utterance data. If the match is determined by the system to be confirmed, a positive score is assigned to the utterance data. Scores for a plurality of such speaker utterances are accumulated in a log file, the accumulated scores used to adjust acoustic models for the grammar database. | 10-02-2008 |
20100114572 | SPEAKER SELECTING DEVICE, SPEAKER ADAPTIVE MODEL CREATING DEVICE, SPEAKER SELECTING METHOD, SPEAKER SELECTING PROGRAM, AND SPEAKER ADAPTIVE MODEL MAKING PROGRAM - To enable selection of a speaker, the acoustic feature value of which is similar to that of an utterance speaker, with accuracy and stability, while adapting to changes even when the acoustic feature value of the speaker changes every moment. A speaker score calculating means ( | 05-06-2010 |
20100131273 | Device,system, and method of liveness detection utilizing voice biometrics - Device, system, and method of liveness detection using voice biometrics. For example, a method comprises: generating a first matching score based on a comparison between: (a) a voice-print from a first text-dependent audio sample received at an enrollment stage, and (b) a second text-dependent audio sample received at an authentication stage; generating a second matching score based on a text-independent audio sample; and generating a liveness score by taking into account at least the first matching score and the second matching score. | 05-27-2010 |
20100145697 | SIMILAR SPEAKER RECOGNITION METHOD AND SYSTEM USING NONLINEAR ANALYSIS - Disclosed herein is a similar speaker recognition method and system using nonlinear analysis. The recognition method extracts a nonlinear feature of a sound signal through nonlinear analysis of the sound signal and combines the nonlinear feature with a linear feature such as spectrum. The method transforms sound data in a time domain into status vectors in a phase domain and uses a nonlinear time series analysis method capable of representing nonlinear features of the status vectors to extract nonlinear information of a sound. The method can overcome technical limitations of conventional linear algorithms. The recognition method can be applied to sound-related application systems other than speaker recognition systems. | 06-10-2010 |
20110246198 | METHOD FOR VERYFYING THE IDENTITY OF A SPEAKER AND RELATED COMPUTER READABLE MEDIUM AND COMPUTER - The present invention refers to a method for verifying the identity of a speaker based on the speakers voice comprising the steps of: a) receiving a voice utterance; b) using biometric voice data to verify ( | 10-06-2011 |
20130166301 | ADAPTIVE VOICE PRINT FOR CONVERSATIONAL BIOMETRIC ENGINE - A computer-implemented method, system and/or program product update voice prints over time. A receiving computer receives an initial voice print. A determining period of time is calculated for that initial voice print. This determining period of time is a length of time during which an expected degree of change in subsequent voice prints, in comparison to the initial voice print and according to a speaker's subsequent age, is predicted to occur. A new voice print is received after the determining period of time has passed, and the new voice print is compared with the initial voice print. In response to a change to the new voice print falling within the expected degree of change in comparison to the initial voice print, a voice print store is updated with the new voice print. | 06-27-2013 |
20130226582 | DEVICE, SYSTEM, AND METHOD OF LIVENESS DETECTION UTILIZING VOICE BIOMETRICS - Device, system, and method of liveness detection using voice biometrics. For example, a method comprises: generating a first matching score based on a comparison between: (a) a voice-print from a first text-dependent audio sample received at an enrollment stage, and (b) a second text-dependent audio sample received at an authentication stage; generating a second matching score based on a text-independent audio sample; and generating a liveness score by taking into account at least the first matching score and the second matching score. | 08-29-2013 |
20140188472 | ADAPTIVE VOICE PRINT FOR CONVERSATIONAL BIOMETRIC ENGINE - A computer-implemented method, system and/or program product update voice prints over time. A receiving computer receives an initial voice print. A determining period of time is calculated for that initial voice print. This determining period of time is a length of time during which an expected degree of change in subsequent voice prints, in comparison to the initial voice print and according to a speaker's subsequent age, is predicted to occur. A new voice print is received after the determining period of time has passed, and the new voice print is compared with the initial voice print. In response to a change to the new voice print falling within the expected degree of change in comparison to the initial voice print, a voice print store is updated with the new voice print. | 07-03-2014 |
20150046162 | DEVICE, SYSTEM, AND METHOD OF LIVENESS DETECTION UTILIZING VOICE BIOMETRICS - Device, system, and method of liveness detection using voice biometrics. For example, a method comprises: generating a first matching score based on a comparison between: (a) a voice-print from a first text-dependent audio sample received at an enrollment stage, and (b) a second text-dependent audio sample received at an authentication stage; generating a second matching score based on a text-independent audio sample; and generating a liveness score by taking into account at least the first matching score and the second matching score. | 02-12-2015 |
20160071520 | SPEAKER INDEXING DEVICE AND SPEAKER INDEXING METHOD - A speaker indexing device extracts a plurality of features from a speech signal on a frame-by-frame basis, models a distribution of first feature sets by a mixture distribution containing as many probability distributions as there are speakers, selects for each probability distribution either first feature sets located within a predetermined distance from the center of the probability distribution or a predetermined number of first feature sets in sequence starting from the first feature set closest to the center of the probability distribution, selects a second feature for the frame corresponding to the selected first feature sets as first training data for the speaker corresponding to the probability distribution and, using the first training data, trains a speaker model to be used to append to each frame identification information for identifying the speaker speaking in the frame. | 03-10-2016 |
20160086604 | Speech Recognition Using Loosely Coupled Components - An automatic speech recognition system includes an audio capture component, a speech recognition processing component, and a result processing component which are distributed among two or more logical devices and/or two or more physical devices. In particular, the audio capture component may be located on a different logical device and/or physical device from the result processing component. For example, the audio capture component may be on a computer connected to a microphone into which a user speaks, while the result processing component may be on a terminal server which receives speech recognition results from a speech recognition processing server. | 03-24-2016 |
20160163320 | MULTI-SAMPLE CONVERSATIONAL VOICE VERIFICATION - A system and method of verifying the identity of an authorized user in an authorized user group for enabling secure access to one or more services via a device includes receiving first voice information from a speaker through the device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score. | 06-09-2016 |
20160203821 | SYSTEM AND METHOD FOR GENERATING CHALLENGE UTTERANCES FOR SPEAKER VERIFICATION | 07-14-2016 |