Patents by Inventor Hector Cordourier
Hector Cordourier 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).
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Patent number: 12262173Abstract: An audio processing device and method uses audio signals from a virtual rotating microphone for acoustic angle of arrival detection using a doppler effect technique.Type: GrantFiled: October 25, 2021Date of Patent: March 25, 2025Assignee: Intel CorporationInventors: Julio Cesar Zamora Esquivel, Hector Cordourier Maruri, Jose Rodrigo Camacho Perez, Paulo Lopez Meyer, Jose Torres Ortega, Alejandro Ibarra Von Borstel
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Publication number: 20250061904Abstract: Techniques are provided herein for identifying the user of audio earbuds. In particular, a wearer's head filters an audio signal, and the audio filtering capabilities of a user's head are used as a biometric feature. One earbud can be used as an audio emitter and the other earbud as an audio receiver. A broadband sound can be generated by the speaker in one earbud and received at the microphone of the other earbud. The received sound is filtered by the user's head and the head characterization of the received filtered sound can be used to identify the user. In particular, the material properties of the user's head change the signal, such that the received signal at the microphone of the other earbud is different from the transmitted signal. The differences are unique to the user's head due to physiological variances among people, and can be used to identify the user.Type: ApplicationFiled: October 30, 2024Publication date: February 20, 2025Applicant: Intel CorporationInventors: Hector Cordourier Maruri, Alejandro Ibarra Von Borstel, Julio Cesar Zamora Esquivel, Paulo Lopez Meyer, Rodrigo Aldana Lopez, Leobardo Campos Macias, Edgar Macias Garcia, Margarita Jauregui Franco
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Publication number: 20250008293Abstract: A system, article, device, apparatus, and method of audio processing comprises receiving, by processor circuitry, binaural audio signals at least overlapping at a same time and of a same two or more audio sources. The method also comprises generating localization map data indicating locations of the two or more audio sources relative to microphones providing the binaural audio signals and comprising inputting at least one version of the binaural audio signals into at least one neural network (NN).Type: ApplicationFiled: June 27, 2023Publication date: January 2, 2025Applicant: Intel CorporationInventors: Hector Cordourier Maruri, Jesus Rodrigo Ferrer Romero, Diego Mauricio Cortes Hernandez, Rosa Jacqueline Sanchez Mesa, Sandra Coello Chavarin, Margarita Jauregui Franco, Willem Beltman, Valeria Cortez Gutierrez
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Publication number: 20240430634Abstract: A system, article, device, apparatus, and method of binaural audio emulation comprises receiving, by processor circuitry, multiple audio signals from multiple microphones and overlapping in a same time and associated with a same at least one audio source. The method also comprises generating binaural audio signals comprising inputting at least one version of the multiple audio signals into a neural network.Type: ApplicationFiled: June 21, 2023Publication date: December 26, 2024Applicant: Intel CorporationInventors: Hector Cordourier Maruri, Samuel Kincaid, Willem Beltman, Jesus Rodrigo Ferrer Romero
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Publication number: 20240351200Abstract: An apparatus, including: an interface configured to receive a target end-effector pose of a cobot; processing circuitry configured to: generate in a generic robot model a joint trajectory based on the target end-effector pose; employ a trained neural network model to map the joint trajectory generated in the generic robot model into a cobot model; and generate a movement instruction to control a movement of the cobot based on the joint trajectory mapped to the cobot model, wherein the generic robot model has a number of degrees of freedom that is equal to or greater than that of the cobot model.Type: ApplicationFiled: June 28, 2024Publication date: October 24, 2024Inventors: Edgar Macias Garcia, Leobardo Campos Macias, Hector Cordourier Maruri, Rafael De La Guardia Gonzalez, David Gonzalez Aguirre, Alejandro Ibarra Von Borstel, Paulo Lopez Meyer, Javier Turek, Julio Zamora Esquivel
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Publication number: 20240326242Abstract: A self-reconfigurable controller for a robot, including: input/output (I/O) interfaces to enable communication with I/O peripheral devices coupled to the robot; and processing circuitry that is operable to: register the I/O peripheral devices and associated functionalities; receive a command for the robot to perform a task; conduct a self-awareness check to correlate functionalities to perform the task with functionalities of the I/O peripheral devices; and generate, based on a net of deep learning (DL) models and a result of the correlation, a target deep learning controller (TDLC) model to control the robot to perform the task.Type: ApplicationFiled: March 31, 2023Publication date: October 3, 2024Inventors: Alejandro Ibarra Von Borstel, Fernando Ambriz Meza, Cornelius Buerkle, Jose Rodrigo Camacho Perez, Hector Cordourier Maruri, Paulo Lopez Meyer, Fabian Oboril, Julio Zamora Esquivel, Jose Miguel Hernandez Miramontes
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Patent number: 12067477Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.Type: GrantFiled: November 15, 2021Date of Patent: August 20, 2024Assignee: Intel CorporationInventors: Julio Zamora Esquivel, Hector Cordourier Maruri, Jose Camacho Perez, Paulo Lopez Meyer, Jesus Adan Cruz Vargas
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Publication number: 20240274148Abstract: Systems and methods for audio source separation. A deep learning-based system uses an azimuth angle location to separate an audio signal originating from a selected location from other sound. Techniques are disclosed for steering a virtual direction of a microphone towards a selected speaker. A deep-learning based audio regression method, which can be implemented as a neural network, learns to separate out various speakers by leveraging spectral and spatial characteristics of all sources. The neural network can focus on multiple sources in multiple respective target directions, and cancel out other sounds. A user can choose which source to listen to. The network can use the time-domain signal and a frequency-domain signal to separate out the target signal and generate a separated audio output. The direction of the selected speaker relative to the microphone array can be input to the system as a vector.Type: ApplicationFiled: April 25, 2024Publication date: August 15, 2024Applicant: Intel CorporationInventors: Jesus Ferrer Romero, Hector Cordourier Maruri, Georg Stemmer, Willem Beltman
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Publication number: 20240244389Abstract: Techniques are provided herein for providing binaural sound signals that are virtually rotated to match head rotation, such that audio output to headphones is perceived to maintain its location relative to user when a user turns their head. In particular, techniques are presented to extract spherical location information already embedded in binaural signals to generate binaural sound signals that change to match head rotation. A deep-learning based audio regression method can use a 2-channel binaural audio signal and a rotation angle as input, and generate a new binaural audio output signal with the rotated environment corresponding to the rotation angle. The deep-learning based audio regression method can be implemented as a neural network, and can include deep learning operations, such as convolution, pooling, elementwise operation, linear operation, and nonlinear operation. A deep learning operation may be performed on internal parameters of the DNNs and one or more activations.Type: ApplicationFiled: February 6, 2024Publication date: July 18, 2024Applicant: Intel CorporationInventors: Hector Cordourier Maruri, Jesus Ferrer Romero, Willem Beltman, Georg Stemmer
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Patent number: 11985487Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to enhance and audio signal.Type: GrantFiled: March 31, 2022Date of Patent: May 14, 2024Assignee: Intel CorporationInventors: Hector Cordourier Maruri, Willem Beltman, Jose Rodrigo Camacho Perez, Paulo Lopez Meyer, Julio Zamora Esquivel, Alejandro Ibarra Von Borstel
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Patent number: 11860288Abstract: Methods, apparatus, systems, and articles of manufacture to detect the location of sound sources external to computing devices are disclosed. An apparatus, to determine a direction of a source of a sound relative to a computing device, includes a cross-correlation analyzer to generate a vector of values corresponding to a cross-correlation of first and second audio signals corresponding to the sound. The first audio signal is received from a first microphone of the computing device. The second audio signal is received from a second microphone of the computing device. The apparatus also includes a location analyzer to use a machine learning model and a set of the values of the vector to determine the direction of the source of the sound.Type: GrantFiled: June 26, 2020Date of Patent: January 2, 2024Assignee: INTEL CORPORATIONInventors: Hector Cordourier Maruri, Adam Kupryjanow, Karol Duzinkiewicz, Jose Rodrigo Camacho Perez, Paulo Lopez Meyer, Julio Zamora Esquivel, Alejandro Ibarra Von Borstel, Jonathan Huang
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Patent number: 11727267Abstract: Systems, apparatuses and methods may provide for technology that adjusts a plurality of weights in a neural network model and adjusts a plurality of activation functions in the neural network model. The technology may also output the neural network model in response to one or more conditions being satisfied by the plurality of weights and the plurality of activation functions. In one example, two or more of the activation functions are different from one another and the activation functions are adjusted on a per neuron basis.Type: GrantFiled: August 30, 2019Date of Patent: August 15, 2023Assignee: Intel CorporationInventors: Julio Cesar Zamora Esquivel, Jose Rodrigo Camacho Perez, Paulo Lopez Meyer, Hector Cordourier Maruri, Jesus Cruz Vargas
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Patent number: 11586216Abstract: A component of an Autonomous Vehicle (AV) system, the component having at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to decode data encoded in a signal, wherein the data identifies a pattern of protrusions embedded in a driving surface, the signal being received from at least one vehicle sensor resulting from a vehicle driving over the pattern of protrusions in the driving surface.Type: GrantFiled: March 27, 2020Date of Patent: February 21, 2023Assignee: Intel CorporationInventors: Jose Rodrigo Camacho Perez, Ignacio J. Alvarez, Hector Cordourier Maruri, Paulo Lopez Meyer, Francisco Rangel Patino, Edgar Andrei Vega, Andres Viveros Wacher, Julio Zamora Esquivel
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Patent number: 11516336Abstract: A disclosed example includes providing vibration information to a model, the vibration information corresponding to a first vibration measured at a first mobile device when the first mobile device is in a state of non-use by a user, the model based on a plurality of vibration patterns that correspond to second vibrations measured by second mobile devices in different environments; identifying, using the model, one of the vibration patterns that corresponds to the vibration information; determining an environment of the first mobile device based on the one of the vibration patterns; and instructing the first mobile device to modify a functionality of the first mobile device based on the environment.Type: GrantFiled: February 18, 2021Date of Patent: November 29, 2022Assignee: Intel CorporationInventors: Jose Camacho Perez, Miguel Bernal Marin, Mario Alfredo C. Arevalo, Hector Cordourier Maruri, Jesus Adan Cruz Vargas, Abraham Duenas De La Cruz, Paulo Lopez Meyer, Julio Zamora Esquivel
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Publication number: 20220375488Abstract: This disclosure describes systems, methods, and devices related to reducing noise in and improving speech signals and radio signals. A device may identify a radio frequency signal received by radio frequency circuity at a time; apply a Short Time Fourier Transform (STFT) to the radio frequency signal to generate a STFT signal; identify a signal-to-noise ratio associated with the radio frequency signal at the time; identify a packet-error-rate associated with the radio frequency signal at the time; identify activity when the multiplexed radio frequency signal is received by the radio frequency circuity at the time; select, based on the signal-to-noise ratio, the packet-error-rate, and the activity, a spectral mask to be applied to the STFT signal; apply the selected spectral mask to the STFT signal to generate a clean STFT signal; and apply an inverse STFT to the clean STFT signal to generate a clean radio frequency signal.Type: ApplicationFiled: August 2, 2022Publication date: November 24, 2022Inventors: Jose Rodrigo Camacho Perez, Eduardo Alban, Shahrnaz Azizi, Hector Cordourier Maruri, German Fabila Garcia, Alejandro Ibarra Von Borstel, Paulo Lopez Meyer, Julio Cesar Zamora Esquivel
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Patent number: 11501584Abstract: Techniques are disclosed to use existing vehicle speakers alone or in conjunction with other sensors (e.g. SRS sensors and/or microphones) that may already be implemented as part of the vehicle to identify acoustic signatures. Suitable low-cost and widely available hardware components (e.g., relays) may be used to modify the vehicle's existing speakers for a bi-directional mode of operation. Moreover, the vehicle's existing of audio amplifiers may be used to amplify signals collected by the speakers when operating in “reverse,” and process these collected signals to determine vehicle state information.Type: GrantFiled: March 26, 2020Date of Patent: November 15, 2022Assignee: Intel CorporationInventors: Julio Zamora Esquivel, Ignacio J. Alvarez, Hector Cordourier Maruri, Jesus Cruz Vargas, David I. Gonzalez Aguirre, Alejandro Ibarra von borstel, Paulo Lopez Meyer, Jose Rodrigo Camacho Perez
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Publication number: 20220343289Abstract: This disclosure describes systems, methods, and devices related to presenting video conferencing virtual seating arrangements. A method may include generating a first similarity score indicative of a first similarity between a first voice of a first virtual meeting user and a second voice of a second virtual meeting user; generating a second similarity score indicative of a second similarity between the first voice of the first virtual meeting user and a third voice of a third virtual meeting user; determining, based on the first similarity score and the second similarity score, a similarity loss for a virtual seating arrangement; determining that the similarity loss is a minimum similarity loss of respective similarity losses for different virtual seating arrangements; generating presentation data, for the virtual meeting, including virtual representations of the virtual meeting users arranged based on the virtual seating arrangement; and presenting the presentation data.Type: ApplicationFiled: June 29, 2022Publication date: October 27, 2022Inventors: Georg Stemmer, Willem Beltman, Hector Cordourier Maruri
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Publication number: 20220329961Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes instructions that, when executed, cause processor circuitry to at least: obtain audio data channels produced by physical capture devices; calculate: a first plurality of angles corresponding to ones of the physical capture devices, the first plurality of angles to describe how sound produced by an audio source arrives to the physical capture devices, a location of the audio source based on the first plurality of angles, a location of virtual capture arrays, and a second plurality of angles to describe how sound produced by the audio source would arrive to the virtual capture arrays; interpolate between two angles from either of the first plurality or the second plurality of angles; and render a binaural audio signal based on the audio data channels and the interpolated angle.Type: ApplicationFiled: June 17, 2022Publication date: October 13, 2022Inventors: Hector Cordourier Maruri, Jesus Rodrigo Ferrer Romero, Willem Beltman
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Publication number: 20220327005Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes at least one memory; instructions; and processor circuitry to execute the instructions. The processor circuitry executes the instructions to extract static and dynamic data from a packet associated with a request for service by an edge device, the static data to change less frequently than the dynamic data. The processor circuitry executes the instructions to generate a first plurality of probability distributions using the static data. The processor circuitry executes the instructions to generate a second plurality of probability distributions using the dynamic data. The processor circuitry executes the instructions to calculate a confidence value for a first helper compute unit of a plurality of helper compute units, the confidence value. The processor circuitry executes the instructions to assign the first helper compute unit the request for service based on the confidence value.Type: ApplicationFiled: June 22, 2022Publication date: October 13, 2022Inventors: Alejandro Ibarra Von Borstel, Hector Cordourier Maruri, Jose Rodrigo Camacho Perez, Julio Zamora Esquivel, Paulo Lopez Meyer
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Publication number: 20220286798Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate binaural sounds for hearing devices. An example apparatus includes processor circuitry to at least access audio data corresponding to multiple devices, ones of the multiple devices positioned at spatial locations relative to a listener, identify a position of the listener relative to the multiple devices, adjust, based on the spatial locations and the position of the listener, the audio data associated with at least one of the multiple devices, transmit the adjusted audio data to a hearing device associated with the listener, the adjusted audio data including a binaural sound corresponding to each of the spatial locations.Type: ApplicationFiled: May 27, 2022Publication date: September 8, 2022Inventors: Georg Stemmer, Hector Cordourier Maruri, Willem Beltman