Lazaros C Polymenakos

US Patent:

58481630, Dec 8, 1998

Filed:

Feb 2, 1996

Appl. No.:

8/594679

Inventors:

Ponani Gopalakrishnan - Yorktown Heights NY
David Nahamoo - White Plains NY
Lazaros Polymenakos - White Plains NY

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04R 2900

US Classification:

381 56

Abstract:

A method and apparatus for removing the effect of background music or noise from speech input to a speech recognizer so as to improve recognition accuracy has been devised. Samples of pure music or noise related to the background music or noise that corrupts the speech input are utilized to reduce the effect of the background in speech recognition. The pure music and noise samples can be obtained in a variety of ways. The music or noise corrupted speech input is segmented in overlapping segments and is then processed in two phases: first, the best matching pure music or noise segment is aligned with each speech segment; then a linear filter is built for each segment to remove the effect of background music or noise from the speech input and the overlapping segments are averaged to improve the signal to noise ratio. The resulting acoustic output can then be fed to a speech recognizer.

US Patent:

60675179, May 23, 2000

Filed:

Feb 2, 1996

Appl. No.:

8/595722

Inventors:

Lalit Rai Bahl - Amawalk NY
Ponani Gopalakrishnan - Yorktown Heights NY
Ramesh Ambat Gopinath - White Plains NY
Stephane Herman Maes - Danbury CT
Lazaros Polymenakos - White Plains NY

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 1520

US Classification:

704256

Abstract:

A technique to improve the recognition accuracy when transcribing speech data that contains data from a wide range of environments. Input data in many situations contains data from a variety of sources in different environments. Such classes include: clean speech, speech corrupted by noise (e. g. , music), non-speech (e. g. , pure music with no speech), telephone speech, and the identity of a speaker. A technique is described whereby the different classes of data are first automatically identified, and then each class is transcribed by a system that is made specifically for it. The invention also describes a segmentation algorithm that is based on making up an acoustic model that characterizes the data in each class, and then using a dynamic programming algorithm (the viterbi algorithm) to automatically identify segments that belong to each class. The acoustic models are made in a certain feature space, and the invention also describes different feature spaces for use with different classes.

US Patent:

20210209167, Jul 8, 2021

Filed:

Jan 3, 2020

Appl. No.:

16/733267

Inventors:

- Armonk NY, US
Chulaka Gunasekara - New Hyde Park NY, US
Kshitji Fadnis - Astoria NY, US
Lazaros Polymenakos - Lexington MA, US
Sunil Davangere Shashidhara - Raleigh NC, US

International Classification:

G06F 16/9032
G06F 40/30
G06F 40/295

Abstract:

Embodiments relate to a system, program product, and method directed at NL and a virtual dialog platform. A natural language (NL) statement is detected and analyzed to identify one or more entities expressed in the statement. The identified entities are leveraged to parse the statement into keywords. The intent of the received statement is represented as a relationship between two or more keywords. A knowledge representation is identified to represent the statement with respect to a formatted a module having two or more components and a component relationship structure. Each statement keyword is assigned to a designated module component based on an alignment of the component relationship with the keyword relationship. The statement intent is expressed based on the relationship between the keywords, and a statement response is inferred. The inferred statement is communicated to the virtual dialog platform.

US Patent:

20200042642, Feb 6, 2020

Filed:

Aug 2, 2018

Appl. No.:

16/053718

Inventors:

- Armonk NY, US
Song Feng - New York NY, US
Chulaka Gunasekara - Yorktown Heights NY, US
David Nahamoo - Great Neck NY, US
Lazaros Polymenakos - West Harrison NY, US
Sunil D. Shashidhara - White Plains NY, US
Cheng Wu - Bellevue WA, US
Li Zhu - Yorktown Heights NY, US

International Classification:

G06F 17/30
G06N 5/02
G06F 17/27
G06N 3/04
G06N 99/00

Abstract:

A method, apparatus and computer program product for creating a dialog system for web content is described. Knowledge is extracted from a target web application for the dialog system. The knowledge includes an organizational structure of the target web application and domain knowledge pertinent to the target web application. A deep learning process associates the domain knowledge with the organization structure of the target application. A plurality of knowledge sources of different respective types are created from the domain knowledge and the organizational structure. Each of the knowledge sources is used for providing answers to user queries to the dialog system. As part of the invention, a semantic matcher is provided to select among the answers provided by the plurality of knowledge sources for a best answer to a user query.

US Patent:

20200042649, Feb 6, 2020

Filed:

Aug 2, 2018

Appl. No.:

16/053726

Inventors:

- Armonk NY, US
Song Feng - New York NY, US
Chulaka Gunasekara - Yorktown Heights NY, US
David Nahamoo - Great Neck NY, US
Lazaros Polymenakos - West Harrison NY, US
Sunil D. Shashidhara - White Plains NY, US
Cheng Wu - Bellevue WA, US
Li Zhu - Yorktown Heights NY, US

International Classification:

G06F 17/30
G06F 17/27
G06N 5/02
G10L 15/22

Abstract:

A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A user input is received in a dialog between a user and the conversational system, the user input in a natural language. A domain trained semantic matcher is used to determine a set of entities and a user intent from the user input. One or more queries is generated to selected ones of a plurality of knowledge sources, the knowledge sources created from domain specific knowledge. The results from the one or more queries are ranked based on domain specific knowledge. A system response is presented in the dialog based on at least a highest ranked result from the plurality of knowledge sources.

US Patent:

20190341036, Nov 7, 2019

Filed:

May 2, 2018

Appl. No.:

15/968808

Inventors:

- Armonk NY, US
Lazaros POLYMENAKOS - West Harrison NY, US
Dragomir RADEV - New York NY, US
David NAHAMOO - Great Neck NY, US
Honglak LEE - Ann Arbor MI, US

International Classification:

G10L 15/22
G06N 99/00
G10L 17/00
G10L 15/18
G10L 15/06
H04L 29/06

Abstract:

An information processing system, a computer program product, and methods for modeling multi-party dialog interactions. A method includes learning, directly from data obtained from a multi-party conversational channel, to identify particular multi-party dialog threads as well as participants in one or more conversations. Each participant utterance being converted to a continuous vector representation updated in a model of the multi-party dialog relative to each participant utterance and according to each participant's role selected from the set of: sender, addressee, or observer. The method trains the model to choose a correct addressee and a correct response for each participant utterance, using a joint selection criterion. The method learns directly from the data obtained from the multi-party conversational channel, which dialog turns belong to each particular multi-party dialog thread.

US Patent:

20190304445, Oct 3, 2019

Filed:

Sep 11, 2018

Appl. No.:

16/128012

Inventors:

- Armonk NY, US
Lazaros Polymenakos - West Harrison NY, US
Nathaniel Mills - Coventry CT, US
Li Zhu - Chappaqua NY, US

International Classification:

G10L 15/22
H04L 29/08
G10L 15/18

Abstract:

A computer-implemented conversational system framework to perform tasks associated with a client request. A conversation application executing on a hardware processor provides application workflow orchestration, the conversation application receiving a client request and sending one or more application requests based on the application workflow orchestration. A conversation system executing on a hardware processor provides conversation workflow orchestration, the conversation system receiving the one or more application requests. The conversation application and the conversation system develop dialog context and store the dialog context in a memory device. The conversation application and the conversation system develop the dialog context by invoking at least one micro-service to perform tasks associated with the one or more application requests. The conversation application generates a response to the client request based on the developed dialog context.

US Patent:

20190212879, Jul 11, 2019

Filed:

Jan 11, 2018

Appl. No.:

15/868987

Inventors:

- Armonk NY, US
Ashima Arora - San Francisco CA, US
Raimo Bakis - Briarcliff Manor NY, US
Song Feng - New York NY, US
Chulaka Gunasekara - Yorktown Heights NY, US
David Nahamoo - Great Neck NY, US
Lazaros Polymenakos - West Harrison NY, US
Sunil D Shashidhara - White Plains NY, US
Li Zhu - Yorktown Heights NY, US

International Classification:

G06F 3/0481
G06F 9/451
G06F 17/30
G06F 17/27
G06F 3/0484

Abstract:

A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A unified semantic representation of conversational content between a user and conversational system is created as a contextual graph of concepts and relations. A set of subgraph components of the semantic contextual graph dynamically identified based on a current dialog activity. The identified set of subgraph components in a user interface as a set of graphical elements representing respective concepts and relations.