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 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:
A distributed dictation/transcription system is provided. The system provides a dictation manager having a data port to receive and transmit audio signals. The dictation manager includes a dictation server selector to a dictation server to transcribe the audio based on whether the dictation server already has a user profile uploaded.
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 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 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:
A distributed dictation/transcription system is provided. The system provides a client station, dictation manager, and dictation server networked such that the dictation manager selects a dictation server to transcribe audio from the client station. The dictation manager selects one of a plurality of dictation servers based on conventional load balancing and on a determination of whether the user profile is already uploaded to a dictation server. While selecting a dictation server or uploading a profile, the client may begin dictating, which audio would be stored in a buffer of dictation manager until a dictation server was selected or available. The user may receive in real time or near real time a display of the textual data that may be corrected by the user to update the user profile.