Abstract: A device improves speech recognition accuracy by utilizing an external knowledge source. The device receives a speech recognition result from an automatic speech recognition (ASR) engine, the speech recognition result including a plurality of ordered interpretations, wherein each of the ordered interpretations includes a plurality of information items. The device analyzes and filters the plurality of interpretations using an external knowledge source to create a filtered plurality of ordered interpretations. The device stores the filtered plurality of ordered interpretations to a memory. The device transmits the filtered plurality of ordered interpretations to a dialog manager module to create a textual output. Alternatively, the dialog manager module retrieves the filtered plurality of ordered interpretations from a memory.

Abstract: A method for adaptive automatic error and mismatch correction is disclosed for use with a system having an automatic error and mismatch correction learning module, an automatic error and mismatch correction model, and a classifier module. The learning module operates by receiving pairs of documents, identifying and selecting effective candidate errors and mismatches, and generating classifiers corresponding to these selected errors and mismatches. The correction model operates by receiving a string of interpreted speech into the automatic error and mismatch correction module, identifying target tokens in the string of interpreted speech, creating a set of classifier features according to requirements of the automatic error and mismatch correction model, comparing the target tokens against the classifier features to detect errors and mismatches in the string of interpreted speech, and modifying the string of interpreted speech based upon the classifier features.

Abstract: A system and method is disclosed for detecting and repairing audio recordings that contain busy signals and extended periods of silence by searching for clusters of silence by reviewing the amplitude in an audio recording sample and listing each silence and sample time.

Abstract: A system and method for a speech recognition technology that allows language models to be customized through the addition of special pronunciations for components of phrases, which are added to the factory language models during customization. It allows components of a phrase to have different pronunciations inside customer-added phrases than are specified for those isolated components in the factory language models.

Abstract: The Clinical Data Container (CDC) is a method for packaging, transporting, and viewing medical reports, their associated data elements, images, and data from medical information systems for use by physicians and patients.

Abstract: Methods and systems for classifying and normalizing information using a combination of traditional data input methods, natural language processing, and predetermined templates are disclosed. One method may include activating a template. Based on this template, template-specific data may also be retrieved. After receiving both an input stream of data and the template-specific data, this information may be processed to generate a report based on the input data and the template specific data. In an alternative embodiment of the invention, templates may include, for example, medical billing codes from a number of different billing code classifications for the generation of patient bills. Alternatively, a method may include receiving an input stream of data and processing the input stream of data. A determination may be made as to whether or not the input stream of data includes latent information. If the data includes latent information, a template associated with latent information may be activated.

Abstract: A dictation system is formed of two personal computers connected by an e-mail system. A hand microphone with control switches is provided at one personal computer and a foot pedal is provided at the other personal computer. The hand microphone is used to generate a dictation file at the first personal computer. In response to actuation of a control switch on the hand microphone, the dictation file is transmitted via the electronic mail system to the second personal computer. The foot pedal at the second personal computer is used to control audible reproduction of the dictation file for the purpose of transcription at the second personal computer. The resulting text file is sent via the electronic mail system from the second personal computer to the first personal computer.

Abstract: The invention includes a handheld device for receiving audio input in the form of speech. The handheld device is specifically optimized for digitally recording speech input for the purpose of speech recognition. The handheld device includes an ergonomically positioned pointing device to enable dictation and navigation through a document using only one hand. The handheld device may optionally include a memory device, a fingerprint security device, and a barcode scanner.

Abstract: A system and method for a speech recognition technology that allows language models for a particular language to be customized through the addition of alternate pronunciations that are specific to the accent of the dictator, for a subset of the words in the language model. The system includes the steps of identifying the pronunciation differences that are best handled by modifying the pronunciations of the language model, identifying target words in the language model for pronunciation modification, and creating a accented speech file used to modify the language model.

Abstract: The invention involves the loading and unloading of dynamic section grammars and language models in a speech recognition system. The values of the sections of the structured document are either determined in advance from a collection of documents of the same domain, document type, and speaker; or collected incrementally from documents of the same domain, document type, and speaker; or added incrementally to an already existing set of values. Speech recognition in the context of the given field is constrained to the contents of these dynamic values. If speech recognition fails or produces a poor match within this grammar or section language model, speech recognition against a larger, more general vocabulary that is not constrained to the given section is performed.

Abstract: A system and method for filtering documents to determine section boundaries between dictated and non-dictated text. The system and method identifies portions of a text report that correspond to an original dictation and, correspondingly, those portions that are not part of the original dictation. The system and method include comparing tokenized and normalized forms of the original dictation and the final report, determining mismatches between the two forms, and applying machine-learning techniques to identify document headers, footers, page turns, macros, and lists automatically and accurately.

Abstract: The invention includes a handheld device for receiving audio input in the form of speech. The handheld device is specifically optimized for digitally recording speech input for the purpose of speech recognition. The handheld device includes an ergonomically positioned pointing device to enable dictation and navigation through a document using only one hand. The handheld device may optionally include a memory device, a fingerprint security device, and a barcode scanner.

Abstract: The invention includes a medical document handling system and method and automated coding systems and methods for assigning predetermined medical codes to medical documents based on the documents' contents. The invention functions by analyzing electronic medical records and extracting medical information using natural language processing and machine learning. The system collects and amalgamates medical documentation in various formats from multiple sources and locations, normalizes the information, analyzes the information, recognizes information indicating contents corresponding to classification codes, assigns classification codes, and presents information in context correlated to medical records for billing and other purposes.

Abstract: A portable digital voice recorder is interfaced for data communication with a personal computer. The personal computer is connected by a data communication network with other devices such as other personal computers, a central dictation system, and/or a voice mail system. Voice data files previously generated by dictating information into the portable recorder are stored in the portable recorder and then uploaded to the personal computer. The voice data files include header data associated with the voice data files. The personal computer reads the header data and automatically forwards the voice data file to one or more of the other devices on the basis of information contained in the header data.

Abstract: A system and method may be disclosed for facilitating the creation or modification of a document by providing a mechanism for locating relevant data from external sources and organizing and incorporating some or all of said data into the document. In the method for reusing data, there may be a set of documents that may be queried, where each document may be divided into a plurality of sections. A plurality of section text groups may be formed based on the set of documents, where each section text group may be associated with a respective section from the plurality of sections and each section group includes a plurality of items. Each item may be associated with a respective section from each document of the set of documents. A selected item within a selected section text group may be focused. The selected item may be extracted to a current document. The current document may be exported to a host application.

Abstract: A system and method for automatically reusing document text (e.g. repeated phrases or lists) in a newly created document having a predetermined document type (e.g. medical record). The present invention determines whether business rules exist for the predetermined document type associated with the newly created document. If business rules for the predetermined document type exist, the present invention determines whether the user has previously requested document text reuse for the newly created document. If the user has not previously requested document text reuse for the newly created document, the present invention selects document text from one or more stored documents in accordance with the business rules for the predetermined document type corresponding to the newly created document. The present invention then automatically inserts the selected document text into the newly created document.

Abstract: A distributed speech recognition system includes a speech processor linked to a plurality of speech recognition engines. The speech processor includes an input for receiving speech files from a plurality of users and storage means for storing the received speech files until such a time that they are forwarded to a selected speech recognition engine for processing. The speech processor further includes a dispatch system linked to the storage means for controlling the transmission of speech files to the plurality of speech recognition engines in a controlled manner.

Abstract: Methods and systems for multi level quality checking of transcripts are disclosed.

Abstract: A distributed speech recognition system provides for the convenient and expedited insertion of a new speech recognition engine. The system includes a central speech processor linked to at least one speech recognition engine. The at least one speech recognition engine includes means for addressing the central speech processor upon installation within the system. The means for addressing transmits to the central speech processor a message indicating its operating protocol and location to permit the central speech processor to identify and begin transmitting work thereto.

Abstract: A method for adaptive automatic error and mismatch correction is disclosed for use with a system having an automatic error and mismatch correction learning module, an automatic error and mismatch correction model, and a classifier module. The learning module operates by receiving pairs of documents, identifying and selecting effective candidate errors and mismatches, and generating classifiers corresponding to these selected errors and mismatches. The correction model operates by receiving a string of interpreted speech into the automatic error and mismatch correction module, identifying target tokens in the string of interpreted speech, creating a set of classifier features according to requirements of the automatic error and mismatch correction model, comparing the target tokens against the classifier features to detect errors and mismatches in the string of interpreted speech, and modifying the string of interpreted speech based upon the classifier features.