Patents by Inventor Julian Chen

Julian Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11983986
    Abstract: A gaming machine includes a base, a columnar pedestal extending vertically from the base, and a button deck adjustably coupled to the pedestal. The button deck includes an upper surface including a transparent touchscreen element, a lower surface opposite the upper surface, and a button deck body extending therebetween. At least one of the lower surface and the body include one or more transparent display elements, the one or more transparent display elements are configured to generate images of gaming machine control actuators viewable on the upper surface. The transparent touchscreen element is configured to receive touches and gestures indicating control inputs. The gaming machine also includes a player tracking card reader positioned within the button deck and accessible through a slot in a front edge of the button deck, the player tracking card reader communicatively coupled to a player tracking display area of the gaming machine.
    Type: Grant
    Filed: January 17, 2023
    Date of Patent: May 14, 2024
    Assignee: Video Gaming Technologies, Inc.
    Inventors: William Douglas Lamb, Daniel William Rice, Victor Brent McClearen, Charles Stanley Curbbun, Arvin Grande Abadilla, Matthew Kranz, Julian Groeli, Blake Chuanlun Wang, Jin Chen, William John Leach
  • Publication number: 20240142996
    Abstract: The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.
    Type: Application
    Filed: January 4, 2024
    Publication date: May 2, 2024
    Inventors: Jason Levin, Palmer F. Luckey, Julian Hammerstein, Joseph Chen
  • Publication number: 20240131522
    Abstract: An input module includes a carrier shelf for supporting a receptacle carrier, a retrieval dock configured to receive one receptacle from a carrier supported on the carrier shelf and present the receptacle for removal by a receptacle transport apparatus, and a pusher configured to push receptacles on the carrier to one end of the carrier and to push one receptacle at a time off the end of the carrier and onto the retrieval dock. A method for determining a number of receptacles on a carrier includes placing the carrier on a carrier shelf, pushing receptacles on the carrier to one end of the carrier with a packer, detecting a position of the packer the receptacles have been pushed to the end of the carrier, and determining the number of receptacles on the carrier from the position of the packer.
    Type: Application
    Filed: December 29, 2023
    Publication date: April 25, 2024
    Applicant: Gen-Probe Incorporated
    Inventors: Norbert D. HAGEN, David A. BUSE, Jin CHEN, David H. COMBS, Julian GROELI, David OPALSKY
  • Patent number: 11958188
    Abstract: A modular end effector with a base with at least one connection element, a manipulator, in particular interchangeable with the connection element connected is disclosed. The position of the connection element and/or the position of the manipulator within the connection element can be changed so that the manipulator can be used in different positions relative to a base to create a versatile modular end effector.
    Type: Grant
    Filed: November 23, 2018
    Date of Patent: April 16, 2024
    Assignee: Deutsches Zentrum für Luft- und Raumfahrt e.V.
    Inventors: Neal Yi-Sheng Lii, Julian Dietl, Zhaopeng Chen, Benedikt Pleintinger
  • Patent number: 11954597
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.
    Type: Grant
    Filed: October 24, 2022
    Date of Patent: April 9, 2024
    Assignee: Google LLC
    Inventors: Gregory S. Corrado, Kai Chen, Jeffrey A. Dean, Gary R. Holt, Julian P. Grady, Sharat Chikkerur, David W. Sculley, II
  • Publication number: 20240109848
    Abstract: Described herein are methods for the preparation of imidazobenzodiazepines such as midazolam and its intermediates. The processes are capable of using continuous flow chemistry and systems.
    Type: Application
    Filed: September 13, 2023
    Publication date: April 4, 2024
    Applicant: ODH IP Corp.
    Inventors: D. Tyler McQuade, Luke Rogers, Josef Maier, Julian Chesterman, Esther Chen, Saad Bux, Brenden Herrera, Loan Truong, Melanie Pachter
  • Patent number: 11941065
    Abstract: Systems and methods are described for generating record clusters. The methods comprise receiving a plurality of records from data sources and providing at least a subset of the records to a scoring model that determines scores for various pairings of the records, a score for a given pair of the records representing a probability that the given pair of records contain data elements about the same entity. The method further comprises generating a graph data structure that includes a plurality of nodes, individual nodes representing a different record from the records. The method also comprises assigning a different unique identifier to individual clusters of the final clusters and responding to a request for data regarding a given entity by providing aggregated data elements from those records of the records associated with a cluster of the final clusters having an identifier that represents the given entity.
    Type: Grant
    Filed: September 11, 2020
    Date of Patent: March 26, 2024
    Assignee: Experian Information Solutions, Inc.
    Inventors: Hua Li, Sophie Liu, Yi He, Zhixuan Wang, Chi Zhang, Kevin Chen, Shanji Xiong, Christer Dichiara, Mason Carpenter, Mark Hirn, Julian Yarkony
  • Publication number: 20240094825
    Abstract: Aspects of the subject technology provide improved techniques for gesture recognition. Improved techniques may include detecting and/or classifying an interaction between the body part and another object in a scan of the body part, and then controlling recognition of a gesture based on the interaction. In an aspect, recognition parameters may be selected based on the interaction classification that disable recognition of one or more gestures while not disabling recognition of other gestures.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 21, 2024
    Inventors: Lailin CHEN, Ashwin Kumar ASOKA KUMAR SHENOI, Daniel J. BREWER, Eslam A. MOSTAFA, Itay BAR YOSEF, Julian K. SHUTZBERG, Leah M. GUM, Martin MELOUN, Minhaeng LEE, Victor BELYAEV
  • Patent number: 9890314
    Abstract: The present invention generally relates to solar water heaters, in particular to solar water heaters using glass vacuum tubes as both solar energy collector and thermal energy storage device, without a hot water storage tank. To improve the efficiency of thermal energy storage, a novel medium for thermal energy storage is disclosed, which utilizes the heat of solution of aluminum sulphate, comprising water and 40% to 47% of Al2(SO4)3. The working temperature range of such energy storage medium is between 50° C. and 100° C. The energy storage medium is contained in plastic capsules, submerged in water and placed in glass vacuum tubes.
    Type: Grant
    Filed: November 24, 2014
    Date of Patent: February 13, 2018
    Assignee: The Trustees of Columbia University in the City of New York
    Inventor: Chengjun Julian Chen
  • Publication number: 20160146509
    Abstract: The present invention generally relates to solar water heaters, in particular to solar water heaters using glass vacuum tubes as both solar energy collector and thermal energy storage device, without a hot water storage tank. To improve the efficiency of thermal energy storage, a novel medium for thermal energy storage is disclosed, which utilizes the heat of solution of aluminum sulphate, comprising water and 40% to 47% of Al2(SO4)3. The working temperature range of such energy storage medium is between 50° C. and 100° C. The energy storage medium is contained in plastic capsules, submerged in water and placed in glass vacuum tubes.
    Type: Application
    Filed: November 24, 2014
    Publication date: May 26, 2016
    Inventor: Chengjun Julian Chen
  • Publication number: 20150262587
    Abstract: A pitch-synchronous method and system for speech coding using timbre vectors is disclosed. On the encoder side, speech signal is segmented into pitch-synchronous frames without overlap, then converted into a pitch-synchronous amplitude spectrum using FFT. Using Laguerre functions, the amplitude spectrum is transformed into a timbre vector. Using vector quantization, each timbre vector is converted to a timbre index based on a timbre codebook. The intensity and pitch are also converted into indices respectively using scalar quantization. Those indices are transmitted as encoded speech. On the decoder side, by looking up the same codebooks, pitch, intensity and the timbre vector are recovered. Using Laguerre functions, the amplitude spectrum is recovered. Using Kramers-Kronig relations, the phase spectrum is recovered. Using FFT, the elementary waves are regenerated, and superposed to become the speech signal.
    Type: Application
    Filed: January 26, 2015
    Publication date: September 17, 2015
    Inventor: Chengjun Julian Chen
  • Patent number: 9135923
    Abstract: A pitch-synchronous method and system for speech coding using timbre vectors is disclosed. On the encoder side, speech signal is segmented into pitch-synchronous frames without overlap, then converted into a pitch-synchronous amplitude spectrum using FFT. Using Laguerre functions, the amplitude spectrum is transformed into a timbre vector. Using vector quantization, each timbre vector is converted to a timbre index based on a timbre codebook. The intensity and pitch are also converted into indices respectively using scalar quantization. Those indices are transmitted as encoded speech. On the decoder side, by looking up the same codebooks, pitch, intensity and the timbre vector are recovered. Using Laguerre functions, the amplitude spectrum is recovered. Using Kramers-Kronig relations, the phase spectrum is recovered. Using FFT, the elementary waves are regenerated, and superposed to become the speech signal.
    Type: Grant
    Filed: January 26, 2015
    Date of Patent: September 15, 2015
    Inventor: Chengjun Julian Chen
  • Patent number: 8942977
    Abstract: The present invention defines a pitch-synchronous parametrical representation of speech signals as the basis of speech recognition, and discloses methods of generating the said pitch-synchronous parametrical representation from speech signals. The speech signal is first going through a pitch-marks picking program to identify the pitch periods. The speech signal is then segmented into pitch-synchronous frames. An ends-matching program equalizes the values at the two ends of the waveform in each frame. Using Fourier analysis, the speech signal in each frame is converted into a pitch-synchronous amplitude spectrum. Using Laguerre functions, the said amplitude spectrum is converted into a unit vector, referred to as the timbre vector. By using a database of correlated phonemes and timbre vectors, the most likely phoneme sequence of an input speech signal can be decoded in the acoustic stage of a speech recognition system.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: January 27, 2015
    Inventor: Chengjun Julian Chen
  • Patent number: 8886539
    Abstract: The present invention discloses a parametrical representation of prosody based on polynomial expansion coefficients of the pitch contour near the center of each syllable. The said syllable pitch expansion coefficients are generated from a recorded speech database, read from a number of sentences by a reference speaker. By correlating the stress level and context information of each syllable in the text with the polynomial expansion coefficients of the corresponding spoken syllable, a correlation database is formed. To generate prosody for an input text, stress level and context information of each syllable in the text is identified. The prosody is generated by using the said correlation database to find the best set of pitch parameters for each syllable. By adding to global pitch contours and using interpolation formulas, complete pitch contour for the input text is generated. Duration and intensity profile are generated using a similar procedure.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: November 11, 2014
    Inventor: Chengjun Julian Chen
  • Publication number: 20140200889
    Abstract: The present invention defines a pitch-synchronous parametrical representation of speech signals as the basis of speech recognition, and discloses methods of generating the said pitch-synchronous parametrical representation from speech signals. The speech signal is first going through a pitch-marks picking program to identify the pitch periods. The speech signal is then segmented into pitch-synchronous frames. An ends-matching program equalizes the values at the two ends of the waveform in each frame. Using Fourier analysis, the speech signal in each frame is converted into a pitch-synchronous amplitude spectrum. Using Laguerre functions, the said amplitude spectrum is converted into a unit vector, referred to as the timbre vector. By using a database of correlated phonemes and timbre vectors, the most likely phoneme sequence of an input speech signal can be decoded in the acoustic stage of a speech recognition system.
    Type: Application
    Filed: March 17, 2014
    Publication date: July 17, 2014
    Inventor: Chengjun Julian Chen
  • Publication number: 20140195242
    Abstract: The present invention discloses a parametrical representation of prosody based on polynomial expansion coefficients of the pitch contour near the center of each syllable. The said syllable pitch expansion coefficients are generated from a recorded speech database, read from a number of sentences by a reference speaker. By correlating the stress level and context information of each syllable in the text with the polynomial expansion coefficients of the corresponding spoken syllable, a correlation database is formed. To generate prosody for an input text, stress level and context information of each syllable in the text is identified. The prosody is generated by using the said correlation database to find the best set of pitch parameters for each syllable. By adding to global pitch contours and using interpolation formulas, complete pitch contour for the input text is generated. Duration and intensity profile are generated using a similar procedure.
    Type: Application
    Filed: March 17, 2014
    Publication date: July 10, 2014
    Inventor: Chengjun Julian Chen
  • Patent number: 8744854
    Abstract: The present invention is a method and system to convert speech signal into a parametric representation in terms of timbre vectors, and to recover the speech signal thereof. The speech signal is first segmented into non-overlapping frames using the glottal closure instant information, each frame is converted into an amplitude spectrum using a Fourier analyzer, and then using Laguerre functions to generate a set of coefficients which constitute a timbre vector. A sequence of timbre vectors can be subject to a variety of manipulations. The new timbre vectors are converted back into voice signals by first transforming into amplitude spectra using Laguerre functions, then generating phase spectra from the amplitude spectra using Kramers-Knonig relations. A Fourier transformer converts the amplitude spectra and phase spectra into elementary waveforms, then superposed to become the output voice. The method and system can be used for voice transformation, speech synthesis, and automatic speech recognition.
    Type: Grant
    Filed: September 24, 2012
    Date of Patent: June 3, 2014
    Inventor: Chengjun Julian Chen
  • Publication number: 20140142946
    Abstract: The present invention is a method and system to convert speech signal into a parametric representation in terms of timbre vectors, and to recover the speech signal thereof. The speech signal is first segmented into non-overlapping frames using the glottal closure instant information, each frame is converted into an amplitude spectrum using a Fourier analyzer, and then using Laguerre functions to generate a set of coefficients which constitute a timbre vector. A sequence of timbre vectors can be subject to a variety of manipulations. The new timbre vectors are converted back into voice signals by first transforming into amplitude spectra using Laguerre functions, then generating phase spectra from the amplitude spectra using Kramers-Knonig relations. A Fourier transformer converts the amplitude spectra and phase spectra into elementary waveforms, then superposed to become the output voice. The method and system can be used for voice transformation, speech synthesis, and automatic speech recognition.
    Type: Application
    Filed: September 24, 2012
    Publication date: May 22, 2014
    Inventor: Chengjun Julian Chen
  • Patent number: 8719030
    Abstract: The present invention is a method and system to convert speech signal into a parametric representation in terms of timbre vectors, and to recover the speech signal thereof. The speech signal is first segmented into non-overlapping frames using the glottal closure instant information, each frame is converted into an amplitude spectrum using a Fourier analyzer, and then using Laguerre functions to generate a set of coefficients which constitute a timbre vector. A sequence of timbre vectors can be subject to a variety of manipulations. The new timbre vectors are converted back into voice signals by first transforming into amplitude spectra using Laguerre functions, then generating phase spectra from the amplitude spectra using Kramers-Knonig relations. A Fourier transformer converts the amplitude spectra and phase spectra into elementary acoustic waves, then superposed to become the output voice. The method and system can be used for voice transformation, speech synthesis, and automatic speech recognition.
    Type: Grant
    Filed: December 3, 2012
    Date of Patent: May 6, 2014
    Inventor: Chengjun Julian Chen
  • Publication number: 20140088968
    Abstract: The present invention is a method and system to convert speech signal into a parametric representation in terms of timbre vectors, and to recover the speech signal thereof. The speech signal is first segmented into non-overlapping frames using the glottal closure instant information, each frame is converted into an amplitude spectrum using a Fourier analyzer, and then using Laguerre functions to generate a set of coefficients which constitute a timbre vector. A sequence of timbre vectors can be subject to a variety of manipulations. The new timbre vectors are converted back into voice signals by first transforming into amplitude spectra using Laguerre functions, then generating phase spectra from the amplitude spectra using Kramers-Knonig relations. A Fourier transformer converts the amplitude spectra and phase spectra into elementary waveforms, then superposed to become the output voice. The method and system can be used for voice transformation, speech synthesis, and automatic speech recognition.
    Type: Application
    Filed: December 3, 2012
    Publication date: March 27, 2014
    Inventor: Chengjun Julian Chen