Intel Corporation

Tomasz Noczynski

Adam Kupryjanow

Munir Nikolai Alexander Georges

Lukasz Kurylo

Sebastian Rosenkiewicz

Lukasz Pindor

Jakub Nowicki

Sebastian Czyryba

Szymon Jessa

Grzegorz Wojdyga

A system, method and computer readable medium for dynamic noise reduction in a voice call. The system includes an encoder having a short-time Fourier transform module to determine a magnitude spectrum and a phase spectrum of an input audio signal, including speech and dynamic noise. A separator coupled to the encoder comprises a temporal convolution network (TCN) used to develop a separation mask using the magnitude spectrum as input. The TCN is trained using a frequency SNR function used to calculate loss during training. A mixer is coupled to the separator to multiply the separation mask with the magnitude spectrum to separate the speech from the dynamic noise to obtain a denoise magnitude spectrum. A decoder coupled to the mixer and the encoder includes an inverse short-time Fourier transform module to reconstruct the input audio signal without the dynamic noise using the denoise magnitude spectrum and the phase spectrum.

Real-time dynamic noise reduction using convolutional networks

An example apparatus for detecting intent in voiced audio includes a receiver to receive one or more word sequence hypotheses related to a voiced audio and a dynamic vocabulary. The apparatus also includes a natural language understander (NLU) to detect an intent and recognize a property related to the intent based on the word sequence hypothesis and the dynamic vocabulary. The apparatus further includes a transmitter to transmit the detected intent and recognized associated property to an application.

Spoken language understanding using dynamic vocabulary

An example apparatus for suppression of key phrase detection includes an audio receiver to receive generated audio from a loopback endpoint and captured audio from a microphone. The apparatus includes a self-trigger detector to detect a key phrase in the generated audio. The apparatus also includes a detection suppressor to suppress detection of the detected key phrase in the captured audio at a second key detector for a predetermined time in response to detecting the key phrase in the generated audio.

Suppressing key phrase detection in generated audio using self-trigger detector

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Gdansk, Poland

Tomasz Noczynski