Turaj Zakizadeh Shabestary

US Patent:

20200294496, Sep 17, 2020

Filed:

May 28, 2020

Appl. No.:

16/886139

Inventors:

- Mountain View CA, US
Yiteng Huang - Basking Ridge NJ, US
Turaj Zakizadeh Shabestary - San Francisco CA, US
Taylor Applebaum - San Francisco CA, US

International Classification:

G10L 15/20
G10L 15/02
G10L 15/08
G10L 15/22
G10L 21/0232
G10L 25/84

Abstract:

Techniques are described for selectively adapting and/or selectively utilizing a noise reduction technique in detection of one or more features of a stream of audio data frames. For example, various techniques are directed to selectively adapting and/or utilizing a noise reduction technique in detection of an invocation phrase in a stream of audio data frames, detection of voice characteristics in a stream of audio data frames (e.g., for speaker identification), etc. Utilization of described techniques can result in more robust and/or more accurate detections of features of a stream of audio data frames in various situations, such as in environments with strong background noise. In various implementations, described techniques are implemented in combination with an automated assistant, and feature(s) detected utilizing techniques described herein are utilized to adapt the functionality of the automated assistant.

US Patent:

20200066263, Feb 27, 2020

Filed:

Jan 14, 2019

Appl. No.:

16/609619

Inventors:

- Mountain View CA, US
Yiteng Huang - Basking Ridge NJ, US
Turaj Zakizadeh Shabestary - San Francisco CA, US
Taylor Applebaum - San Francisco CA, US

International Classification:

G10L 15/20
G10L 15/02
G10L 25/84
G10L 21/0232
G10L 15/22
G10L 15/08

Abstract:

Techniques are described for selectively adapting and/or selectively utilizing a noise reduction technique in detection of one or more features of a stream of audio data frames. For example, various techniques are directed to selectively adapting and/or utilizing a noise reduction technique in detection of an invocation phrase in a stream of audio data frames, detection of voice characteristics in a stream of audio data frames (e.g., for speaker identification), etc. Utilization of described techniques can result in more robust and/or more accurate detections of features of a stream of audio data frames in various situations, such as in environments with strong background noise. In various implementations, described techniques are implemented in combination with an automated assistant, and feature(s) detected utilizing techniques described herein are utilized to adapt the functionality of the automated assistant.

US Patent:

20190392853, Dec 26, 2019

Filed:

Jun 26, 2018

Appl. No.:

16/019402

Inventors:

- Mountain View CA, US
Turaj Zakizadeh Shabestary - San Francisco CA, US

International Classification:

G10L 21/0208
H04M 9/08
G06F 3/16

Abstract:

According to an aspect, a method for multi-channel echo cancellation includes receiving a microphone signal and a multi-channel loudspeaker driving signal. The multi-channel loudspeaker driving signal includes a first driving signal that drives a first loudspeaker, and a second driving signal that drives a second loudspeaker. The first driving signal is substantially the same as second driving signal. The microphone signal includes a near-end signal with echo. The method includes determining a unique solution for acoustic transfer functions for a present acoustic scenario based on the microphone signal and the multi-channel loudspeaker driving signal. The acoustic transfer functions include first and second acoustic transfer function. The unique solution is determined based on time-frequency transforms of observations from the present acoustic scenario and at least one previous acoustic scenario. The method includes removing the echo from the microphone signal based on the first and second acoustic transfer function.