Zhuo F Chen

US Patent:

20210407516, Dec 30, 2021

Filed:

Sep 13, 2021

Appl. No.:

17/473645

Inventors:

- Redmond WA, US
Andreas Stolcke - Berkeley CA, US
Zhuo Chen - Woodinville WA, US
Dimitrios Basile Dimitriadis - Bellevue WA, US
Nanshan Zeng - Bellevue WA, US
Lijuan Qin - Redmond WA, US
William Isaac Hinthorn - Seattle WA, US
Xuedong Huang - Bellevue WA, US

International Classification:

G10L 15/30
G10L 15/16
G10L 21/0208
G10L 21/0272

Abstract:

A computer implemented method includes receiving audio signals representative of speech via multiple audio streams transmitted from corresponding multiple distributed devices, performing, via a neural network model, continuous speech separation for one or more of the received audio signals having overlapped speech, and providing the separated speech on a fixed number of separate output audio channels.

US Patent:

20200349230, Nov 5, 2020

Filed:

Apr 30, 2019

Appl. No.:

16/398836

Inventors:

- Redmond WA, US
Andreas Stolcke - Berkeley CA, US
Zhuo Chen - Woodinville WA, US
Dimitrios Basile Dimitriadis - Bellevue WA, US
Nanshan Zeng - Bellevue WA, US
Lijuan Qin - Redmond WA, US
William Isaac Hinthorn - Seattle WA, US
Xuedong Huang - Bellevue WA, US

International Classification:

G06F 17/28
H04L 29/06
G10L 15/26
G10L 13/08

Abstract:

Systems and methods for providing customized output based on a user preference in a distributed system are provided. In example embodiments, a meeting server or system receives audio streams from a plurality of distributed devices involved in an intelligent meeting. The meeting system identifies a user corresponding to a distributed device of the plurality of distributed devices and determines a preferred language of the user. A transcript from the received audio streams is generated. The meeting system translates the transcript into the preferred language of the user to form a translated transcript. The translated transcript is provided to the distributed device of the user.

US Patent:

20200349949, Nov 5, 2020

Filed:

Apr 30, 2019

Appl. No.:

16/399152

Inventors:

- Redmond WA, US
Andreas Stolcke - Berkeley CA, US
Zhuo Chen - Woodinville WA, US
Dimitrios Basile Dimitriadis - Bellevue WA, US
Nanshan Zeng - Bellevue WA, US
Lijuan Qin - Redmond WA, US
William Isaac Hinthorn - Seattle WA, US
Xuedong Huang - Bellevue WA, US

International Classification:

G10L 15/26
H04R 1/40
H04L 29/06

Abstract:

A computer implemented method includes receiving audio streams at a meeting server from two distributed devices that are streaming audio captured during an ad-hoc meeting between at least two users, comparing the received audio streams to determine that the received audio streams are representative of sound from the ad-hoc meeting, generating a meeting instance to process the audio streams in response to the comparing determining that the audio streams are representative of sound from the ad-hoc meeting, and processing the received audio streams to generate a transcript of the ad-hoc meeting.

US Patent:

20200349950, Nov 5, 2020

Filed:

Apr 30, 2019

Appl. No.:

16/399166

Inventors:

- Redmond WA, US
Andreas Stolcke - Berkeley CA, US
Zhuo Chen - Woodinville WA, US
Dimitrios Basile Dimitriadis - Bellevue WA, US
Nanshan Zeng - Bellevue WA, US
Lijuan Qin - Redmond WA, US
William Isaac Hinthorn - Seattle WA, US
Xuedong Huang - Bellevue WA, US

International Classification:

G10L 15/26
G10L 15/08

Abstract:

A computer implemented method processes audio streams recorded during a meeting by a plurality of distributed devices. Operations include performing speech recognition on each audio stream by a corresponding speech recognition system to generate utterance-level posterior probabilities as hypotheses for each audio stream, aligning the hypotheses and formatting them as word confusion networks with associated word-level posteriors probabilities, performing speaker recognition on each audio stream by a speaker identification algorithm that generates a stream of speaker-attributed word hypotheses, formatting speaker hypotheses with associated speaker label posterior probabilities and speaker-attributed hypotheses for each audio stream as a speaker confusion network, aligning the word and speaker confusion networks from all audio streams to each other to merge the posterior probabilities and align word and speaker labels, and creating a best speaker-attributed word transcript by selecting the sequence of word and speaker labels with the highest posterior probabilities.

US Patent:

20200349954, Nov 5, 2020

Filed:

Apr 30, 2019

Appl. No.:

16/399175

Inventors:

- Redmond WA, US
Andreas Stolcke - Berkeley CA, US
Zhuo Chen - Woodinville WA, US
Dimitrios Basile Dimitriadis - Bellevue WA, US
Nanshan Zeng - Bellevue WA, US
Lijuan Qin - Redmond WA, US
William Isaac Hinthorn - Seattle WA, US
Xuedong Huang - Bellevue WA, US

International Classification:

G10L 15/30
G10L 15/16
G10L 21/0208
G10L 21/0272

Abstract:

A computer implemented method includes receiving audio signals representative of speech via multiple audio streams transmitted from corresponding multiple distributed devices, performing, via a neural network model, continuous speech separation for one or more of the received audio signals having overlapped speech, and providing the separated speech on a fixed number of separate output audio channels.