International Business Machines Corporation

Nuance Communications, Inc.

Burn Lewin Lewis

Edward Adam Epstein

Mahesh Viswanathan

Liam David Comerford

Lalit R Bahl

Louis Degenaro

David Carl Frank

Steven V De Gennaro

Peter Vincent deSouza

Leonid Rachevksy

Jean-Michel Le Roux

Claire Waast-Richard

Jeffrey Alan Kusnitz

Kerry Alan Ortega

Maria Elena Smith

Etienne Marcheret

Bruce D Lucas

Abhishek Malvankar

James R Challenger

Siegfried Kunzmann

Upali Bandara

Hubert Crepy

Thomas A Kist

Steven J Friedland

Saurabh Pujar

Karlheinz Mohr

Kris A Coe

Jaroslaw Cwiklik

A computer-implemented method, system and computer program product for sharing and utilizing healthcare data, by: providing one or more computer-implemented machine learning models for analyzing the healthcare data; and recording transactions involving the machine learning models using a blockchain as a distributed ledger that is shared, replicated and synchronized. Healthcare data is also used to train the machine learning models. The healthcare data comprises research data or patient data such as Electronic Medical Records (EMRs). A smart contract that is a computer-implemented protocol is used to facilitate, verify or enforce negotiation of the transactions involving the machine learning models or healthcare data.

System and method to share and utilize healthcare data

A system for processing analytics on a cluster of computing resources may receive a user request to process a Job, Service or Reservation, and may include an Orchestrator, Resource Manager, Process Manager, and one or more Agents and Job Drivers, which together deploy the Job onto one or more nodes in the cluster for parallelized processing of Jobs and their associated work items.

Distributed UIMA cluster computing (DUCC) facility

Techniques are disclosed for overcoming errors in speech recognition systems. For example, a technique for processing acoustic data in accordance with a speech recognition system comprises the following steps/operations. Acoustic data is obtained in association with the speech recognition system. The acoustic data is recorded using a combination of a first buffer area and a second buffer area, such that the recording of the acoustic data using the combination of the two buffer areas at least substantially minimizes one or more truncation errors associated with operation of the speech recognition system.

Methods and apparatus for buffering data for use in accordance with a speech recognition system

In a computer speech recognition system, the present invention provides a method and system for recognizing and executing a voice command that has a dictation portion. Upon receiving a user input, the spoken utterance is processed to identify a pattern of words which matches a pre-determined command pattern. Then, computer system command is identified that corresponds to the pre-determined command pattern and has at least one parameter. The parameter is extracted from a dictation portion of the spoken utterance which is separate from the pattern of words matching the command pattern. The computer system command is then processed to perform an event in accordance with the parameter. If the spoken utterance does not contain a pattern of words matching a pre-determined command pattern, then the spoken utterance is recognized as dictation and inserted at a specified location into an electronic document or other system or application software.

Method and apparatus for executing voice commands having dictation as a parameter

Methods and apparatus for providing speech recognition in noisy environments. An energy level associated with audio input is ascertained, and a decision is rendered on whether to accept the at least one word as valid speech input, based on the ascertained energy level.

Speech recognition in noisy environments

Methods and systems for testing speech recognition systems are disclosed in which the speech recognition device to be tested is directly monitored in accordance with a text-to-speech device. The collection of reference texts to be used by the speech recognition device is provided by a text-to-speech device preferably, in one embodiment, implemented within the same computer system. In such an embodiment, a digital audio file stored within a storage area of a computer system is generated from a reference text using a text-to-speech device. The digital audio file is later read using a speech recognition device to generate a decoded (or recognized) text representative of the reference text. The reference text and the decoded text are compared in an alignment operation and an error report representative of the recognition rate of the speech recognition device is finally generated.

Testing speech recognition systems using test data generated by text-to-speech conversion

A method for automatically analyzing a document in a speech recognition system having a vocabulary and language model can include the steps of: determining whether the document has undergone previous analysis; undoing the previous analysis; and, analyzing the document. More specifically, the determining step comprises the steps of: comparing trigrams in the document with trigrams in the language model; and, setting a reference point containing document data for undoing a previous analysis in the undoing step if the compared language model contains all the document trigrams. Moreover, the undoing step comprises the step of removing from the language model each trigram contained in the document data in the reference point. Finally, the analyzing step comprises the steps of: searching the document for new words not contained in the vocabulary; adding said new words to said vocabulary; updating the language model with trigrams contained in the document; and, setting a reference point containing document data for undoing the updating of the language model in the updating step. In addition, the adding step can comprise identifying among the new words found in the searching step, correctly-spelled words not requiring a speaker-supplied pronunciation; and adding the correctly-spelled words to the vocabulary. The inventive method can further comprise the steps of: recognizing a request from a user of the speech dictation system to discontinue user editing; finding in the document new words not contained in the vocabulary in response to the request; enhancing the vocabulary with the new words; undoing the analysis created during the analyzing step; and, further analyzing the document.

Automatic analysis of a speech dictated document

A system and method for recognizing spoken liaisoned words. The method and system identify each word in the vocabulary as a liaison generator and/or liaison receptor. If the word is a liaison receptor, and if the word is preceded by a liaison generator, the most probable recognition result for the word will be the liaison generated by the preceding word plus the word. Liaisons are identified on an immediately preceding word in accordance with rules in a language. A word that ends with an unpronounced consonant phoneme, when followed by a word beginning with a consonant phoneme, and ends with a pronounced phoneme, when followed by a word with a vowel-like phoneme, causes a match list for the current word to be amended with words having liaisons added at their beginnings.

Method for modeling and recognizing speech including word liaisons

Method and apparatus for adapting the language model's size in a speech

A method and system of recognizing speech. The method and system perform a fast match on a word in the string of speech to be recognized which generates a fast match list representing words in a system vocabulary that most likely match a current word to be recognized. Next, the method and system perform a detailed match on the words in the fast match list and generate a detailed match list representing words that most likely match the current word to be recognized. Then for each word in the detailed match list that can accept a liaison phoneme from a preceding word, where each word is a liaison receptor, adding to the detailed match list a form of the liaison receptor, where the form represents an addition of a liaison phoneme to the liaison receptor, creating a modified detailed match list which is inclusive of the forms of the liaison receptors added to the detailed match list. Finally the method and system outputs a word in the modified detailed match list that has the highest probability of matching the word to be recognized.

Recognizing speech having word liaisons by adding a phoneme to reference

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Ossining, NY, United States of America

Burn Lewin Lewis