765 results about "Language recognition" patented technology

Disclosed are computer-implemented methods and systems for dynamic selection of speech recognition systems for the use in Chat Information Systems (CIS) based on multiple criteria and context of human-machine interaction. Specifically, once a first user audio input is received, it is analyzed so as to locate specific triggers, determine the context of the interaction or predict the subsequent user audio inputs. Based on at least one of these criteria, one of a free-diction recognizer, pattern-based recognizer, address book based recognizer or dynamically created recognizer is selected for recognizing the subsequent user audio input. The methods described herein increase the accuracy of automatic recognition of user voice commands, thereby enhancing overall user experience of using CIS, chat agents and similar digital personal assistant systems.

A sign language recognition apparatus and method is provided for translating hand gestures into speech or written text. The apparatus includes a number of sensors on the hand, arm and shoulder to measure dynamic and static gestures. The sensors are connected to a microprocessor to search a library of gestures and generate output signals that can then be used to produce a synthesized voice or written text. The apparatus includes sensors such as accelerometers on the fingers and thumb and two accelerometers on the back of the hand to detect motion and orientation of the hand. Sensors are also provided on the back of the hand or wrist to detect forearm rotation, an angle sensor to detect flexing of the elbow, two sensors on the upper arm to detect arm elevation and rotation, and a sensor on the upper arm to detect arm twist. The sensors transmit the data to the microprocessor to determine the shape, position and orientation of the hand relative to the body of the user.

A method of language recognition wherein decoding ambiguities are identified and at least partially resolved intermediate to the language decoding procedures to reduce the subsequent number of final decoding alternatives. The user is questioned about identified decoding ambiguities as they are being decoded. There are two language decoding levels: fast match and detailed match. During the fast match decoding level a large potential candidate list is generated, very quickly. Then, during the more comprehensive (and slower) detailed match decoding level, the fast match candidate list is applied to the ambiguity to reduce the potential selections for final recognition. During the detailed match decoding level a unique candidate is selected for decoding. Decoding may be interactive and, as each ambiguity is encountered, recognition suspended to present questions to the user that will discriminate between potential response classes. Thus, recognition performance and accuracy is improved by interrupting recognition, intermediate to the decoding process, and allowing the user to select appropriate response classes to narrow the number of final decoding alternatives.

The invention provides an identification verifying system for a living human body for electronic payment, so as to overcome defects existing in the prior art. Through various voice-shape-image biometric feature recognition of face recognition, voice recognition, voiceprint recognition and lip language recognition, whether a user is an operator or not and whether the user is an intelligent living body or not are verified, through a client of the electronic payment and the interactive communication of a server, the feature information of a face, a voice, a voiceprint and a lip language is extracted out from a video and an audio obtained by the client of the electronic payment through the client of the electronic payment, and less data flow is used and transmitted into a server terminal through the Internet so as to perform the feature information of the face, the voice, the voiceprint and the lip language. Direct contact between the identification verifying system and the operator is not needed, whether the user is the operator or not and whether the user is the intelligent living body or not are verified, the identification verifying system is convenient to use, easy to accept by the operator and good in customer experience, and besides, an additional hardware is not needed.

Occurrences of one or more keywords in audio data are identified using a speech recognizer employing a language model to derive a transcript of the keywords. The transcript is converted into a phoneme sequence. The phonemes of the phoneme sequence are mapped to the audio data to derive a time-aligned phoneme sequence that is searched for occurrences of keyword phoneme sequences corresponding to the phonemes of the keywords. Searching includes computing a confusion matrix. The language model used by the speech recognizer is adapted to keywords by increasing the likelihoods of the keywords in the language model. For each potential occurrences keywords detected, a corresponding subset of the audio data may be played back to an operator to confirm whether the potential occurrences correspond to actual occurrences of the keywords.