Dong Liu

US Patent:

8503653, Aug 6, 2013

Filed:

Mar 3, 2008

Appl. No.:

12/074276

Inventors:

Sudhir Raman Ahuja - Little Silver NJ, US
Jingdong Chen - North Plainfield NJ, US
Yiteng Arden Huang - North Plainfield NJ, US
Dong Liu - Piscataway NJ, US
Qiru Zhou - Scotch Plains NJ, US

Assignee:

Alcatel Lucent - Paris

International Classification:

H04M 3/42
H04M 1/00
H04L 12/16
H04Q 11/00

US Classification:

37920201, 379158, 370260, 455416

Abstract:

A method and apparatus for performing active speaker selection in teleconferencing applications illustratively comprises a microphone array module, a speaker recognition system, a user interface, and a speech signal selection module. The microphone array module separates the speech signal from each active speaker from those of other active speakers, providing a plurality of individual speaker's speech signals. The speaker recognition system identifies each currently active speaker using conventional speaker recognition/identification techniques. These identities are then transmitted to a remote teleconferencing location for display to remote participants via a user interface. The remote participants may then select one of the identified speakers, and the speech signal selection module then selects for transmission the speech signal associated with the selected identified speaker, thereby enabling the participants at the remote location to listen to the selected speaker and neglect the speech from other active speakers.

US Patent:

20210156759, May 27, 2021

Filed:

Nov 25, 2020

Appl. No.:

17/105414

Inventors:

- HOBOKEN NJ, US
Dong Liu - Hoboken NJ, US

International Classification:

G01M 5/00
B23K 31/12

Abstract:

The present invention relates to nonlinear Vibro-Acoustic Modulation (VAM), one of the prevailing nonlinear methods for material characterization and structural damage evaluation. An algorithm of AM/FM separation is presented specifically for VAM method. While the commonly used Hilbert transform (HT) separation may not work for a typical VAM scenario, the developed IQHS and SPHS algorithms address HT shortcomings. They have been tested both numerically and experimentally (for fatigue cracks evolution) showing FM dominance at the initial micro-crack growth stages and transition to AM during macro-crack formation. In addition, the SPHS algorithm is capable of detecting fatigue crack via monitoring of modulation phase.