Patent application number | Description | Published |
20120282421 | METHOD FOR HEATING A FIBER-REINFORCED POLYMER - The present invention concerns a method for heating a fiber-reinforced polymer forming at least part of a hollow vessel, in particular, a high-pressure gas tank made of a fiber-reinforced polymer, the method comprising the steps of filling said vessel with a flowable polar material, in particular, a flowable polar liquid such as water, and irradiating said vessel with microwaves so as to cause at least a dielectric heating of the flowable polar material within the vessel. | 11-08-2012 |
20120283348 | METHOD AND DEVICE FOR CURING A THERMOSETTING POLYMER - The present invention concerns a method and a device for curing a thermosetting polymer. The method comprises the steps of irradiating the thermosetting polymer with microwaves at a first power level so as to heat up the thermosetting polymer by dielectric heating, and when the thermosetting polymer reaches a first predetermined temperature, irradiating the thermosetting polymer with microwaves at a second power level, substantially higher than the first power level, to further heat up the thermosetting polymer by dielectric heating. The device comprises an enclosure for receiving the thermosetting polymer, a microwave emitter for emitting microwave radiation into the enclosure, and a control unit for controlling a microwave emission power of the microwave emitter according to the abovementioned method. | 11-08-2012 |
Patent application number | Description | Published |
20090138265 | Joint Discriminative Training of Multiple Speech Recognizers - Adjusting model parameters is described for a speech recognition system that combines recognition outputs from multiple speech recognition processes. Discriminative adjustments are made to model parameters of at least one acoustic model based on a joint discriminative criterion over multiple complementary acoustic models to lower recognition word error rate in the system. | 05-28-2009 |
20110035217 | SPEECH-DRIVEN SELECTION OF AN AUDIO FILE - A system and method for detecting a refrain in an audio file having vocal components. The method and system includes generating a phonetic transcription of a portion of the audio file, analyzing the phonetic transcription and identifying a vocal segment in the generated phonetic transcription that is repeated frequently. The method and system further relate to the speech-driven selection based on similarity of detected refrain and user input. | 02-10-2011 |
20120245940 | Guest Speaker Robust Adapted Speech Recognition - A method for speech recognition is implemented in the specific form of computer processes that function in a computer processor. That is, one or more computer processes: process a speech input to produce a sequence of representative speech vectors and perform multiple recognition passes to determine a recognition output corresponding to the speech input. At least one generic recognition pass is based on a generic speech recognition arrangement using generic modeling of a broad general class of input speech. And at least one adapted recognition pass is based on a speech adapted arrangement using pre-adapted modeling of a specific sub-class of the general class of input speech. | 09-27-2012 |
20120259627 | Efficient Exploitation of Model Complementariness by Low Confidence Re-Scoring in Automatic Speech Recognition - A method for speech recognition is described that uses an initial recognizer to perform an initial speech recognition pass on an input speech utterance to determine an initial recognition result corresponding to the input speech utterance, and a reliability measure reflecting a per word reliability of the initial recognition result. For portions of the initial recognition result where the reliability of the result is low, a re-evaluation recognizer is used to perform a re-evaluation recognition pass on the corresponding portions of the input speech utterance to determine a re-evaluation recognition result corresponding to the re-evaluated portions of the input speech utterance. The initial recognizer and the re-evaluation recognizer are complementary so as to make different recognition errors. A final recognition result is determined based on the re-evaluation recognition result if any, and otherwise based on the initial recognition result. | 10-11-2012 |
20120259632 | Online Maximum-Likelihood Mean and Variance Normalization for Speech Recognition - A feature transform for speech recognition is described. An input speech utterance is processed to produce a sequence of representative speech vectors. A time-synchronous speech recognition pass is performed using a decoding search to determine a recognition output corresponding to the speech input. The decoding search includes, for each speech vector after some first threshold number of speech vectors, estimating a feature transform based on the preceding speech vectors in the utterance and partial decoding results of the decoding search. The current speech vector is then adjusted based on the current feature transform, and the adjusted speech vector is used in a current frame of the decoding search. | 10-11-2012 |
20150149174 | DIFFERENTIAL ACOUSTIC MODEL REPRESENTATION AND LINEAR TRANSFORM-BASED ADAPTATION FOR EFFICIENT USER PROFILE UPDATE TECHNIQUES IN AUTOMATIC SPEECH RECOGNITION - A computer-implemented method is described for speaker adaptation in automatic speech recognition. Speech recognition data from a particular speaker is used for adaptation of an initial speech recognition acoustic model to produce a speaker adapted acoustic model. A speaker dependent differential acoustic model is determined that represents differences between the initial speech recognition acoustic model and the speaker adapted acoustic model. In addition, an approach is also disclosed to estimate speaker-specific feature or model transforms over multiple sessions. This is achieved by updating the previously estimated transform using only adaptation statistics of the current session. | 05-28-2015 |
20150206527 | FEATURE NORMALIZATION INPUTS TO FRONT END PROCESSING FOR AUTOMATIC SPEECH RECOGNITION - A computer-implemented method is described for front end speech processing for automatic speech recognition. A sequence of speech features which characterize an unknown speech input is received with a computer process. A first subset of the speech features is normalized with a computer process using a first feature normalizing function. A second subset of the speech features is normalized with a computer process using a second feature normalizing function different from the first feature normalizing function. The normalized speech features in the first and second subsets are combined with a computer process to produce a sequence of mixed normalized speech features for automatic speech recognition. | 07-23-2015 |
20150262575 | META-DATA INPUTS TO FRONT END PROCESSING FOR AUTOMATIC SPEECH RECOGNITION - A computer-implemented method is described for front end speech processing for automatic speech recognition. A sequence of speech features which characterize an unknown speech input provided on an audio input channel and associated meta-data data which characterize the audio input channel are received. The speech features are transformed with a computer process that uses a trained mapping function controlled by the meta-data, and automatic speech recognition is performed of the transformed speech features. | 09-17-2015 |
20150279352 | HYBRID CONTROLLER FOR ASR - A mobile device is described which is adapted for automatic speech recognition (ASR). A speech input receives an unknown speech input signal from a user. A local controller determines if a remote ASR processing condition is met, transforms the speech input signal into a selected one of multiple different speech representation types, and sends the transformed speech input signal to a remote server for remote ASR processing. A local ASR arrangement performs local ASR processing of the speech input including processing any speech recognition results received from the remote server. | 10-01-2015 |
20160027435 | METHOD FOR TRAINING AN AUTOMATIC SPEECH RECOGNITION SYSTEM - A system and method for speech recognition is provided. Embodiments may include receiving, at a first computing device, a far-talk signal from a far-talk computing device, the far-talk signal transmitted using a first channel and corresponding to an audible sound. Embodiments may further include receiving, at the first computing device, a near-talk signal from a near-talk computing device, the near-talk signal transmitted using a second channel and corresponding to the audible sound, wherein the far-talk signal and the near-talk signal are received during an enrollment phase of a far-talk speech recognition system. Embodiments may also include updating, at the first computing device, one or more models associated with a far-talk speech recognition system based upon, at least in part, one or more characteristics of the far-talk signal and one or more characteristics of the near-talk signal. | 01-28-2016 |
Patent application number | Description | Published |
20090095640 | Humidity Control Apparatus for Electrochemical Sensors - Devices and methods are disclosed that can adjust a hydration level in an electrochemical sensor or an instrument which includes such a sensor. The device can include a chamber which can, at least in part, surround an inflow port of the sensor. An adjacent reservoir of water can provide a source of water vapor which can be infused into the sensor. | 04-16-2009 |
20090188297 | Temperature and Humidity Compensated Single Element Pellistor - A portable, relatively low power gas detector incorporates a single pellistor-type sensor for sensing an explosive gas of interest. Outputs from the sensor are corrected in accordance with ambient temperature and humidity and pre-stored correction factors based on characteristics exhibited by a plurality of similar sensors. | 07-30-2009 |
20100212395 | Instrument Docking Station with Non-Destructive Sensor Analysis Capabilities - A docking station for use with gas sensors includes limited test and diagnostic circuitry directed to specific characteristics of selected detectors. Where a family of detectors is to be evaluated, a universal interface for that family can be included. A single port can be used for multiple different detectors irrespective of specific detector characteristics. | 08-26-2010 |
20130174645 | PHOTOACOUSTIC METHOD FOR OXYGEN SENSING - A method for photoacoustically sensing oxygen in a gaseous sample is disclosed, together with an apparatus for practicing the present method. Efficient and cost-effective oxygen sensing is provided by the use of a light source in the form of a light-emitting diode, which can be selected to correspond with the absorption spectra exhibited by oxygen in a gaseous sample. Filtering can be employed in order to control and narrow the wavelength of light emitted by the light source. An apparatus is disclosed which facilitates practice of the present method, including an arrangement by which ambient noise and vibration can be canceled. | 07-11-2013 |
20150096905 | POTENTIOSTATIC CIRCUITS FOR ELECTROCHEMICAL SENSORS - An electrochemical detector can be powered partly, or entirely by voltages generated by the sensor. Using either active circuits or a passive component which produces a predetermined voltage drop in the respective sensor, two electrode consumable anode oxygen sensors can be provided which do not evolve hydrogen during operation. | 04-09-2015 |