Intel Corporation

Ellipsis Health, Inc.

Piotr Chlebek

Przemyslaw Maziewski

Tomasz Rutowski

Michael Aratow

Lukasz Kurylo

Mainul Islam

Amir Hossein Harati Nejad Torbati

David Lin

Yang Lu

Melissa McCool

The present disclosure provides acoustic and natural language processing (NLP) models for predicting whether a subject has a behavioral or mental health state of interest based at least in part on input speech from said subject.

Acoustic and natural language processing models for speech-based screening and monitoring of behavioral health conditions

For a multiple microphone system, a phase response mismatch may be corrected. One embodiment includes receiving audio from a first microphone and from a second microphone, the microphones being coupled to a single device for combining the received audio, recording the received audio from the first microphone and the second microphone before combining the received audio, detecting a phase response mismatch in the recording at the device between the audio received at the second microphone and the audio received at the first microphone, if a phase response mismatch is detected, then estimating a phase delay between the second microphone and the first microphone, and storing the estimated phase delay for use in correcting the phase delay in received audio before combining the received audio.

Phase response mismatch correction for multiple microphones

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Gdynia, Poland

Piotr Chlebek