Geoffrey G Zweig

US Patent:

6411933, Jun 25, 2002

Filed:

Nov 22, 1999

Appl. No.:

09/444684

Inventors:

Stephane Herman Maes - Danbury CT
Geoffrey G. Zweig - Greenwich CT

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 2100

US Classification:

704273, 704270

Abstract:

A method of validating production of a biometric attribute allegedly associated with a user comprises the following steps. A first signal is generated representing data associated with the biometric attribute allegedly received in association with the user. A second signal is also generated representing data associated with at least one feature detected in association with the production of the biometric attribute allegedly received from the user. Then, the first signal and the second signal are compared to determine a correlation level between the biometric attribute and the production feature, wherein the validation of the production of the biometric attribute depends on the correlation level. Accordingly, the invention serves to provide substantial assurance that the biometric attribute offered by the user has been physically generated by the user.

US Patent:

6611678, Aug 26, 2003

Filed:

Sep 29, 2000

Appl. No.:

09/677086

Inventors:

Geoffrey Zweig - Greenwich CT
Chalapathy Neti - Yorktown Heights NY

Assignee:

IBM Corporation - Armonk NY

International Classification:

H04B 116

US Classification:

4551613, 4551861, 455158

Abstract:

A trainable radio scanner, including a station monitoring circuit to scan a plurality of radio frequencies and extract audio samples of a predetermined duration from each one of the plurality of radio frequencies having a signal strength above a reception threshold; a memory storing audio classification data and the plurality of audio samples; and an audio analyzer to analyze each one of the plurality of audio samples using the audio classification data and classifies each audio sample into a musical style category; a style discriminator to control a radio station scanning operation of the radio receiver to tune only to preferred radio stations having a radio frequency at which the corresponding audio sample is classified in at least one preferred musical style category.

US Patent:

6842796, Jan 11, 2005

Filed:

Jul 3, 2001

Appl. No.:

09/898289

Inventors:

Geoffrey G. Zweig - Greenwich CT, US
Mukund Padmanabhan - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 300

US Classification:

710 16, 710 65, 707 1, 707 6, 707100, 705 1, 705 2

Abstract:

Techniques are provided for enumerating regularly identifiable or stereotypical phrases that people commonly use to convey particular information, and where exactly in these phrases the particular information is to be found. In one embodiment, such phrases are referred to as “regular expressions. ” Using such enumerated phrases, the invention is able to automatically identify them in an input data stream and then identify and extract the particular information associated with the phrase that is being sought, e. g. , important or relevant information.

US Patent:

7216077, May 8, 2007

Filed:

Sep 26, 2000

Appl. No.:

09/670251

Inventors:

Mukund Padmanabhan - White Plains NY, US
George A. Saon - Putnam Valley NY, US
Geoffrey G. Zweig - Greenwich CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 15/06
G10L 15/14

US Classification:

704240, 704244, 704246

Abstract:

Methods and arrangements using lattice-based information for unsupervised speaker adaptation. By performing adaptation against a word lattice, correct models are more likely to be used in estimating a transform. Further, a particular type of lattice proposed herein enables the use of a natural confidence measure given by the posterior occupancy probability of a state, that is, the statistics of a particular state will be updated with the current frame only if the a posteriori probability of the state at that particular time is greater than a predetermined threshold.

US Patent:

7251599, Jul 31, 2007

Filed:

Dec 10, 2002

Appl. No.:

10/315411

Inventors:

Benoit Maison - White Plains NY, US
Geoffrey G. Zweig - Greenwich CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 15/02

US Classification:

704251

Abstract:

Methods and arrangements for facilitating database access in speech recognition. A plurality of possible subsequences corresponding to a database entry are ascertained, a record of such subsequences and their correspondence to database entries is created, and either or both of the following are carried out: unique signatures are ascertained via determining whether a subsequence corresponding to a given database entry does not also correspond to at least one other database entry; and/or multiple occurrences of a given subsequence are found, with corresponding database entries being grouped into a confusion set.

US Patent:

7464031, Dec 9, 2008

Filed:

Nov 28, 2003

Appl. No.:

10/724536

Inventors:

Scott E. Axelrod - Mount Kisco NY, US
Sreeram Viswanath Balakrishnan - Los Altos CA, US
Stanley F. Chen - Yorktown Heights NY, US
Yuging Gao - Mount Kisco NY, US
Ramesh A. Gopinath - Millwood NY, US
Benoit Maison - White Plains NY, US
David Nahamoo - White Plains NY, US
Michael Alan Picheny - White Plains NY, US
George A. Saon - Old Greenwich CT, US
Geoffrey G. Zweig - Ridgefield CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 15/00
G10L 15/20

US Classification:

704236, 704240, 704251

Abstract:

In a speech recognition system, the combination of a log-linear model with a multitude of speech features is provided to recognize unknown speech utterances. The speech recognition system models the posterior probability of linguistic units relevant to speech recognition using a log-linear model. The posterior model captures the probability of the linguistic unit given the observed speech features and the parameters of the posterior model. The posterior model may be determined using the probability of the word sequence hypotheses given a multitude of speech features. Log-linear models are used with features derived from sparse or incomplete data. The speech features that are utilized may include asynchronous, overlapping, and statistically non-independent speech features. Not all features used in training need to appear in testing/recognition.

US Patent:

7949526, May 24, 2011

Filed:

Jun 4, 2007

Appl. No.:

11/810086

Inventors:

Yun-Cheng Ju - Bellevue WA, US
Alejandro Acero - Bellevue WA, US
Neal Bernstein - Mercer Island WA, US
Geoffrey Zweig - Sammamish WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/00

US Classification:

704246, 704251, 704270

Abstract:

A voice interaction system is configured to analyze an utterance and identify inherent attributes that are indicative of a demographic characteristic of the system user that spoke the utterance. The system then selects and presents a personalized response to the user, the response being selected based at least in part on the identified demographic characteristic. In one embodiment, the demographic characteristic is one or more of the caller's age, gender, ethnicity, education level, emotional state, health status and geographic group. In another embodiment, the selection of the response is further based on consideration of corroborative caller data.

US Patent:

8145484, Mar 27, 2012

Filed:

Nov 11, 2008

Appl. No.:

12/268447

Inventors:

Geoffrey Zweig - Sammamish WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/00

US Classification:

704240, 704231, 704239, 704235, 704243, 704251

Abstract:

The described implementations relate to speech spelling by a user. One method identifies one or more symbols that may match a user utterance and displays an individual symbol for confirmation by the user.

Address:

3820 206 Pl NE, Sammamish, WA 98074

VIN:

JHLRE485X7C078829

Make:

HONDA

Model:

CR-V

Year:

2007