Abstract: A digital display of an active window is provided. An application, separate from the application providing the digital display, is capable of identifying an artifact in the active window of the digital display without a priori knowledge or an application programming interface to the application providing the digital display. The artifacts may be alpha-numeric artifacts or non-alpha-numeric artifacts. The active window may be examined in multiple dimensions including 2 dimensions, 3 dimensions or more. Alpha-numeric artifacts, once identified, are pre-processed to remove anti-aliasing to allow for processor optical recognition.

Abstract: A method to allow for real-time dictation and transcription with multiple remote endpoints is provided. The method comprises evoking a primary application and a client device APP (or APP) to work with a remote hosted application to process audio for the primary application. The APP connects to the hosted application, and the hosted application receives and processes the audio. The hosted application returns the text to the client device, which text populates the primary application. The APP and/or the hosted application also transmits the text to a remote endpoint, such as, for example, a desktop computer or a laptop computer where the user can interact with the primary application and the text returned by the hosted application.

Abstract: The technology of the present application provides software as a service (SaaS) executing on a server in a cloud or network. The SaaS receives data from a mobile device of a user over the network. The SaaS processes the data and returns the processed data to a client application executing on a client device of the user, which user is the same as the user of the mobile device wherein there is no direct communication link, wireless or wired, between the mobile device and the client device. In one aspect, the technology of the present application provides the mobile device as a smartphone and a microphone application to be executed on the smartphone.

Abstract: The technology of the present application provides a method and apparatus to manage speech resources. The method includes using a text recognizer to detect a change in a speech application that requires the use of different resources. On detection of the change, the method loads the different resources without the user needing to exit the currently executing speech application.

Abstract: The technology of the present application provides software as a service (SaaS) executing on a server in a cloud or network. The SaaS receives data from a mobile device of a user over the network. The SaaS processes the data and returns the processed data to a client application executing on a client device of the user, which user is the same as the user of the mobile device wherein there is no direct communication link, wireless or wired, between the mobile device and the client device. In one aspect, the technology of the present application provides the mobile device as a smartphone and a microphone application to be executed on the smartphone.

Abstract: To attain the advantages and in accordance with the purpose of the technology of the present application, apparatuses, systems, and methods to evaluate a user audio profile are provided. The evaluation of a user audio profile allows for identification of potential causes of poor performing user audio profiles and potential types of remediation to increase the performance of the user audio profile.

Abstract: The technology of the present application provides a speech recognition system with at least two different speech recognition engines or a single engine speech recognition engine with at least two different modes of operation. The first speech recognition being used to match audio to text, which text may be words or phrases. The matched audio and text is used by a training module to train a user profile for a natural language speech recognition engine, which is at least one of the two different speech recognition engines or modes. An evaluation module evaluates when the user profile is sufficiently trained to convert the speech recognition engine from the first speech recognition engine or mode to the natural language speech recognition or mode.

Abstract: The technology of the present application provides a modified language model to allow for the recognition of speech containing types of disfluency. The modified language model includes a plurality of n-grams where an n-gram comprises a sequent of words. The language model also has at least one synthetic n-gram where the synthetic is a naturally occurring n-gram combined with a disfluency token. The disfluency token is representative of multiple types of disfluency and multiple pronunciations thereof.

Abstract: A speech recognition engine is provided. The speech recognition engine combines multiple, different statistical language models to allow a single instance of a speech recognition engine to recognize words applicable to a first group of users and a second group of users where the second group of users is a subset of the first group of users. At least one of the multiple, different statistical language models comprises words specific to the second group of users.

Abstract: The technology of the present application provides a method and apparatus to manage speech resources. The method includes using a text recognizer to detect a change in a speech application that requires the use of different resources. On detection of the change, the method loads the different resources without the user needing to exit the currently executing speech application.

Abstract: The technology of the present application provides a speech recognition system with at least two different speech recognition engines or a single engine speech recognition engine with at least two different modes of operation. The first speech recognition being used to match audio to text, which text may be words or phrases. The matched audio and text is used by a training module to train a user profile for a natural language speech recognition engine, which is at least one of the two different speech recognition engines or modes. An evaluation module evaluates when the user profile is sufficiently trained to convert the speech recognition engine from the first speech recognition engine or mode to the natural language speech recognition or mode.

Abstract: The technology of the present application provides a method and apparatus to managing resources for a system using voice recognition. The method and apparatus includes maintaining a database of historical data regarding a plurality of users. The historical database maintains data regarding the training resources required for users to achieve an accuracy score using voice recognition. A resource calculation module determines from the historical data an expected amount of training resources necessary to train a new user to the accuracy score.

Abstract: A computer-implemented method for simplifying the pasting of textual transcriptions from a transcription engine into an application is described. An audio file is sent to a transcription engine. A textual transcription file of the audio file is received from the transcription engine. The textual transcription file is automatically loaded into a copy buffer. The textual transcription file is pasted from the copy buffer into an application.

Abstract: The present invention provides a data device to speech service bridge. The bridge allows packet-based devices, such as, for example, the PDA and 2.5/3G cellular phone, to access voice services.

Abstract: A dictation system that allows using trainable code phrases is provided. The dictation system operates by receiving audio and recognizing the audio as text. The text/audio may contain code phrases that are identified by a comparator that matches the text/audio and replaces the code phrase with a standard clause that is associated with the code phrase. The database or memory containing the code phrases is loaded with matched standard clauses that may be identified to provide a hierarchal system such that certain code phrases may have multiple meanings depending on the user.

Abstract: A passive, non-amplified audio switch for a computer telephony system is provided. The passive, non-amplified audio switch provides a first telephone jack to receive audio in and send audio out to a first user. The passive, non-amplified audio switch provides a second telephone jack to receive audio in and send audio out to a second user. The passive, non-amplified audio switch further provides audio out and receives audio in from a voice platform, which transcribes audio using a speech to text engine. The passive, non-amplified audio switch provides that audio in from the second user is always provided to the voice platform for transcription.

Abstract: The present invention provides a data device to speech service bridge. The bridge allows packet-based devices, such as, for example, the PDA and 2.5/3G cellular phone, to access voice services.

Abstract: The technology of the present application provides a method and apparatus to managing resources for a system using voice recognition. The method and apparatus includes maintaining a database of historical data regarding a plurality of users. The historical database maintains data regarding the training resources required for users to achieve an accuracy score using voice recognition. A resource calculation module determines from the historical data an expected amount of training resources necessary to train a new user to the accuracy score.

Abstract: A computer-implemented method for simplifying the pasting of textual transcriptions from a transcription engine into an application is described. An audio file is sent to a transcription engine. A textual transcription file of the audio file is received from the transcription engine. The textual transcription file is automatically loaded into a copy buffer. The textual transcription file is pasted from the copy buffer into an application.

Abstract: A computer-implemented system and method for evaluating the performance of a user using a dictation system is provided. The system and method include receiving a text or transcription file generated from user audio. A performance metric, such as, for example, words/minute or errors is generated based on the transcription file. The performance metric is provided to an administrator so the administrator can evaluate the performance of the user using the dictation system.