Lei L Chen

US Patent:

8392190, Mar 5, 2013

Filed:

Dec 1, 2009

Appl. No.:

12/628611

Inventors:

Lei Chen - Lawrenceville NJ, US
Klaus Zechner - Princeton NJ, US
Xiaoming Xi - Princeton NJ, US

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G10L 15/00

US Classification:

7042561

Abstract:

Computer-implemented systems and methods are provided for assessing non-native spontaneous speech pronunciation. Speech recognition on digitized speech is performed using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech. Time alignment is performed between the digitized speech and the word hypotheses using a reference acoustic model trained with native-quality speech. Statistics are calculated regarding individual words and phonemes in the word hypotheses based on the alignment. A plurality of features for use in assessing pronunciation of the speech are calculated based on the statistics, an assessment score is calculated based on one or more of the calculated features, and the assessment score is stored in a computer-readable memory.

US Patent:

8603386, Dec 10, 2013

Filed:

Oct 31, 2007

Appl. No.:

11/980918

Inventors:

Stephen Y. Chou - Princeton NJ, US
Zengli Fu - Monmouth Junction NJ, US
Lei Chen - Clarksburg MD, US
Haixlong Ge - Naking, CN

International Classification:

B29C 35/08

US Classification:

264496, 264494, 264220, 264227, 264293, 264299, 264319, 264106, 264107

Abstract:

The invention is directed to new nanoimprint resist and thin-film compositions for use in nanoimprinting lithography. The compositions permit economical high-throughput mass production, using nanoimprint processes, of patterns having sub-200 nm, and even sub-50 nm features.

US Patent:

20040137734, Jul 15, 2004

Filed:

Nov 12, 2003

Appl. No.:

10/706757

Inventors:

Stephen Chou - Princeton NJ, US
Lei Chen - Princeton NJ, US

Assignee:

PRINCETON UNIVERSITY

International Classification:

H01L021/302
H01L021/461

US Classification:

438/689000

Abstract:

The present invention is directed to new nanoimprint resist and thin-film compositions for use in nanoimprinting lithography. The compositions of the present invention permit economical high-throughput mass production, using nanoimprint processes, of patterns having sub-200 nm, and even sub-50 nm features.

US Patent:

20110213610, Sep 1, 2011

Filed:

Feb 25, 2011

Appl. No.:

13/035428

Inventors:

Lei Chen - Lawrenceville NJ, US
Joel Tetreault - Lawrenceville NJ, US
Xiaoming Xi - Pennington NJ, US
Klaus Zechner - Princeton NJ, US
Miao Chen - Bloomington IN, US

International Classification:

G06F 17/27

US Classification:

704 9, 704E11001

Abstract:

Systems and methods are provided for providing a score for a spontaneous non-native speech response to a prompt. A transcription of the spontaneous speech response is accessed. A plurality of clauses are identified within the spontaneous speech response, where identifying a clause includes identifying a beginning boundary and an end boundary of the clause in the spontaneous speech response. A plurality of disfluencies in the spontaneous speech response is identified. One or more proficiency metrics are calculated based on the plurality of identified clauses and the plurality of the identified disfluencies, and a score for the spontaneous speech response is generated based on the one or more proficiency metrics.

US Patent:

20110270612, Nov 3, 2011

Filed:

Apr 28, 2011

Appl. No.:

13/095980

Inventors:

Lei Chen - Pennington NJ, US
Klaus Zechner - Princeton NJ, US

International Classification:

G10L 15/04

US Classification:

704251, 704E15005

Abstract:

Systems and methods are provided for scoring non-native, spontaneous speech. A spontaneous speech sample is received, where the sample is of spontaneous speech spoken by a non-native speaker. Automatic speech recognition is performed on the sample using an automatic speech recognition system to generate a transcript of the sample, where a speech recognizer metric is determined by the automatic speech recognition system. A word accuracy rate estimate is determined for the transcript of the sample generated by the automatic speech recognition system based on the speech recognizer metric. The spontaneous speech sample is scored using a preferred scoring model when the word accuracy rate estimate satisfies a threshold, and the spontaneous speech sample is scored using an alternate scoring model when the word accuracy rate estimate fails to satisfy the threshold.

US Patent:

20110288054, Nov 24, 2011

Filed:

Sep 22, 2009

Appl. No.:

13/120728

Inventors:

Bandarpalle B. Shankar - Branchburg NJ, US
Seong Heon Kim - Livington NJ, US
Wensheng Yu - Edison NJ, US
Ling Tong - Warren NJ, US
Michael K.C. Wong - Somerset NJ, US
Brian J. Lavey - New Providence NJ, US
Joseph A. Kozlowski - Princeton NJ, US
Lei Chen - Roselle Park NJ, US
Razia K. Rizvi - Bloomfield NJ, US
Aneta Maria Kosinski - South Amboy NJ, US
De-Yi Yang - Morris Plains NJ, US
Guowei Zhou - Somerset NJ, US
Kristen E. Rosner - Watertown NJ, US
Luke Fire - Cambridge MA, US
Judson E. Richard - Kittery ME, US
Dansu Li - Reading MA, US

Assignee:

Schering Corporation - Kenilworth NJ

International Classification:

A61K 31/675
A61K 31/4355
A61K 31/5377
A61K 31/496
C07F 9/6561
A61K 31/4178
C07D 403/14
C07D 403/06
A61K 31/513
C07D 405/14
A61K 31/4741
C07D 401/14
A61K 31/4439
A61P 29/00
C07D 491/048

US Classification:

514 81, 546115, 514302, 544127, 5142338, 544362, 51425304, 546 23, 5483117, 514389, 540362, 51421002, 5483121, 544316, 514274, 544321, 514272, 546 89, 514291, 5462744, 514339

Abstract:

This invention relates to compounds of the Formula (I) as described herein, or a pharmaceutically acceptable salt, solvate or ester thereof, which can be useful for the treatment of diseases or conditions mediated by MMPs, ADAMs, TACE, aggrecanase, TNF- or combinations thereof.

US Patent:

20120016672, Jan 19, 2012

Filed:

Jul 14, 2011

Appl. No.:

13/182770

Inventors:

Lei Chen - Lawrenceville NJ, US
Keelan Evanini - Pennington NJ, US
Xie Sun - Florham Park NJ, US

International Classification:

G10L 15/28

US Classification:

704236, 704255, 704E15046

Abstract:

Computer-implemented systems and methods are provided for assessing non-native speech proficiency. A non-native speech sample is processed to identify a plurality of vowel sound boundaries in the non-native speech sample. Portions of the non-native speech sample are analyzed within the vowel sound boundaries to extract vowel characteristics. The vowel characteristics are used to identify a plurality of vowel space metrics for the non-native speech sample, and the vowel space metrics are used to determine a non-native speech proficiency score for the non-native speech sample.

US Patent:

20130030808, Jan 31, 2013

Filed:

Jul 24, 2012

Appl. No.:

13/556439

Inventors:

Klaus Zechner - Princeton NJ, US
Lei Chen - Pennington NJ, US
Shasha Xie - Lawrenceville NJ, US
Xiaoming Xi - Pennington NJ, US
Chaitanya Ramineni - Lawrenceville NJ, US

International Classification:

G10L 15/00

US Classification:

704236, 704E15001

Abstract:

Systems and methods are provided for scoring non-native speech. Two or more speech samples are received, where each of the samples are of speech spoken by a non-native speaker, and where each of the samples are spoken in response to distinct prompts. The two or more samples are concatenated to generate a concatenated response for the non-native speaker, where the concatenated response is based on the two or more speech samples that were elicited using the distinct prompts. A concatenated speech proficiency metric is computed based on the concatenated response, and the concatenated speech proficiency metric is provided to a scoring model, where the scoring model generates a speaking score based on the concatenated speech metric.