Nuance Communications, Inc.

Microsoft Technology Licensing, LLC

International Business Machines Corporation

Scansoft, Inc.

Paul Joseph Vozila

William F Ganong, Iii

Nathan M Bodenstab

Bhuvana Ramabhadran

Donald E Owen

Joel Praveen Pinto

Mehmet Mert Öz

Guido Remi Marcel Gallopyn

Uwe Helmut Jost

Daniel Willett

Abhinav Sethy

Kumar Abhinav

Gakuto Kurata

Masafumi Nishimura

Nobuyasu Itoh

Ron Hoory

Vladimir Sejnoha

Nils Lenke

Stanley S Chen

Matthias Helletzgruber

Jonathan Mamou

Puming Zhan

Jeremy Martin Jancsary

Neal Snider

Philip Charles Woodland

Marcel Katz

Syed Raza Shahid

Yang Sun

Yik-Cheung Tam

Frank Diehl

Stephen Mingyu Chu

Gunnar Evermann

Maximilian Bisani

Wilson Tam

Peter R Stubley

Ruhi Sarikaya

Matthieu Hebert

Ding Liu

Jianxiong Wu

Marc W Regan

Stephen W Laverty

Gary B Clayton

Olivier Divay

Steven A Hatch

Brian Ulicny

Yi Su

Jean-Francois Beaumont

Paul Maergner

Stefan Hahn

Haibo Li

Marilisa Amoia

Jeffrey P Adams

Alex Vasserman

Peter Stubley

William Ganong

Victor S Chen

William F Iii Ganong

A method, computer program product, and computing system for obtaining, by a computing device, encounter information of a patient encounter, wherein the encounter information may include audio encounter information obtained from at least a first encounter participant. The audio encounter information obtained from at least the first encounter participant may be processed. A user interface may be generated displaying a plurality of layers associated with the audio encounter information obtained from at least the first encounter participant. A user input may be received from a peripheral device to navigate through each of the plurality of layers associated with the audio encounter information displayed on the user interface.

System and method for review of automated clinical documentation from recorded audio

A method, computer program product, and computing system for obtaining encounter information during a patient encounter; processing the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event; and deriving information for the detected physical event.

Ambient clinical intelligence system and method

A system, method and computer-readable storage device provides an improved speech processing approach in which hyper parameters used for speech recognition are modified dynamically or in batch mode rather than fixed statically. The method includes estimating, via a model trained on audio data and/or metadata, a set of parameters useful for performing automatic speech recognition, receiving speech at an automatic speech recognition system, applying, by the automatic speech recognition system, the set of parameters to processing the speech to yield text and outputting the text from the automatic speech recognition system.

System and method for performing automatic speech recognition system parameter adjustment via machine learning

A method, computer program product, and computing system for monitoring a plurality of conversations within a monitored space to generate a conversation data set; processing the conversation data set using machine learning to: define a system-directed command for an ACI system, and associate one or more conversational contexts with the system-directed command; detecting the occurrence of a specific conversational context within the monitored space, wherein the specific conversational context is included in the one or more conversational contexts associated with the system-directed command; and executing, in whole or in part, functionality associated with the system-directed command in response to detecting the occurrence of the specific conversational context without requiring the utterance of the system-directed command and/or a wake-up word/phrase.

Ambient cooperative intelligence system and method

A method, computer program product, and computer system for encoding, by a computing device, a transcript and text macros into vector representations. A word by word report may be predicted based upon, at least in part, the encoding. An attention mechanism may be queried based upon, at least in part, a decoder state. An attention distribution may be produced over an encoder output. An interpolation of the encoder output may be produced based upon, at least in part, the attention distribution. The interpolation of the encoder output may be input into a decoder for report modeling that includes text macro location and content.

System and method for customized text macros

A method, computer program product, and computing system for: receiving an initial portion of an encounter record; processing the initial portion of the encounter record to generate initial content for a medical report; receiving one or more additional portions of the encounter record; and processing the one or more additional portions of the encounter record to modify the medical report.

Automated clinical documentation system and method

A method, computer program product, and computer system for mapping, by a computing device, an automatic speech recognition output of a conversation to a concept marker and a verbalized version of a value associated with the concept marker based upon, at least in part, the automatic speech recognition output of the conversation. The concept marker and the verbalized version of the value associated with the concept marker may be replaced with a formatted version. A plurality of user selectable format configurations of the formatted version may be provided as a textual output in a user interface.

System and method for concept formatting

A method, computer program product, and computer system for identifying, by a computing device, a model for predicting conversational phrases for a communication between at least a first user and a second user. The model may be trained based upon, at least in part, an attribute associated with the second user. At least one conversational phrase may be predicted for the communication between the first user and the second user. The at least one conversational phrase may be provided to the second user as an optional phrase to be sent to the first user.

System and method for accelerating user agent chats

Methods and systems are provided for improving speech recognition of multilingual named entities. In some embodiments, a list comprising a plurality of named entities may be accessed by a computing device. A first named entity represented in the native language may be compared with the first named entity represented in the foreign language. One or more words that appear in both the first named entity represented in the native language and the first named entity represented in the foreign language may be identified as one or more foreign words. A grapheme-to-phoneme (G2P) conversion may be applied to the one or more foreign words, wherein graphemes of the one or more foreign words are mapped to phonemes in the native language. The G2P conversion may result in a native pronunciation for each of the one or more foreign words, which are added to a recognition dictionary along with the native pronunciations.

Improving automatic speech recognition of multilingual named entities

Techniques for generating language models. The techniques include: obtaining language data comprising training data and associated values for one or more metadata attributes, the language data comprising a plurality of instances of language data, an instance of language data comprising an instance of training data and one or more metadata attribute values associated with the instance of training data; identifying, by processing the language data using at least one processor, a set of one or more of the metadata attributes to use for clustering the instances of training data into a plurality of clusters; clustering the training data instances based on their respective values for the identified set of metadata attributes into the plurality of clusters; and generating a language model for each of the plurality of clusters.

Systems and methods for providing metadata-dependent language models

A mobile device is described which is adapted for automatic speech recognition (ASR). A speech input receives an unknown speech input signal from a user. A local controller determines if a remote ASR processing condition is met, transforms the speech input signal into a selected one of multiple different speech representation types, and sends the transformed speech input signal to a remote server for remote ASR processing. A local ASR arrangement performs local ASR processing of the speech input including processing any speech recognition results received from the remote server.

Hybrid controller for ASR

Growing community of inventors

Arlington, MA, United States of America

Paul Joseph Vozila