Intel Corporation

Alejandro Ibarra Von Borstel

Jose Rodrigo Camacho Perez

Paulo Lopez Meyer

Hector Cordourier Maruri

Willem M Beltman

Julio Cesar Zamora Esquivel

Shahrnaz Azizi

David Israel Gonzalez Aguirre

Hector A Cordourier Maruri

Eduardo Alban

Julio Zamora Esquivel

Jose Torres Ortega

Fernando Ambriz Meza

Walter Alejandro Mayorga Macias

Rocio Hernandez Fabian

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.

Single device for noise mitigation and enhancement of speech and radio signals

An example apparatus including processor circuitry to execute instructions to join a video conferencing meeting including a first audio channel, the first audio channel including first binaural audio at a first angle; in response to a user joining a second audio channel in the video conferencing meeting, select a second angle for the second audio channel and a third angle for the first audio channel; generate a superimposed binaural audio including second binaural audio and third binaural audio; and output the superimposed binaural audio such that first audio data from the first audio channel included in the third binaural audio is to appear to originate from a first position based on the third angle and second audio data from the second audio channel included in the second binaural audio is to appear to originate from a second position based on the second angle.

Methods and apparatus to enable private verbal side conversations in virtual meetings

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.

Audio processing device and method for acoustic angle of arrival detection using audio signals of a virtual rotating microphone

Methods, apparatus, systems, and articles of manufacture are disclosed to enhance and audio signal. An example apparatus includes processor circuitry to at least determine a first signal spectrum corresponding to a first microphone, the first signal spectrum identifying first audio, determine a second signal spectrum corresponding to a second microphone, the second signal spectrum identifying the first audio, the second spectrum different from the first spectrum, the first microphone different from the second microphone, the second signal spectrum having a first spectral distance to the first signal spectrum, calculate a mask based on the first and second signal spectrums, and generate a third signal spectrum corresponding to the first microphone utilizing the mask and the first signal spectrum, the third signal spectrum different from the first signal spectrum, the third signal spectrum having a second spectral distance to the second signal spectrum, the second spectral distance less than the first spectral distance.

Methods and apparatus to enhance an audio signal

Methods, apparatus, and software for implementing dual Bayesian encoding-decoding for text-to-code transformations. In one aspect, a multi-model probabilistic source code model employing dual Bayesian encoder-decoder models is used to convert natural language (NL) inputs (aka requests) into source code. An NL input is processed to generate a Probabilistic Distribution (PD) of Source code (SC) tokens in an SC token sequence and a PD of Abstract Syntax Tree (AST) tokens in an AST token sequence, wherein each SC token is associated with a respective AST token, and each of the SC and AST tokens have a respective PD. One or more fixing rules are applied to one or more tokens SC tokens that are identified as needing fixing, wherein the fixing rule are selected in consideration of the PDs of the SC tokens and the PDs of their associated AST tokens.

Dual bayesian encoding-decoding technique for text to code transformations

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Manchaca, TX, United States of America

Alejandro Ibarra Von Borstel