Abstract: The present disclosure provides a speech editor for creating a session file having text segments synchronized with an audio file. The editor receives a text segment and a first file that has tag information lines associated with the text segment. Each tag information line has a portion of original text transcribed from the audio file and a corresponding audio length value. The editor stores the audio length of a current line in a new tag information line for the second file, determines whether the original text portion of the current line is found in the text segment, and if the original text portion of the current line is not found in the text segment, identifies a corrected text of the text segment adjusting the audio length of the new tag information line of the session file to correspond to the corrected text.

Abstract: An apparatus comprising a session file, session file editor, annotation window, concatenation software and training software. The session file includes one or more audio files and text associated with each audio file segment. The session file editor displays text and provides text selection capability and plays back audio. The annotation window operably associated with the session file editor supports user modification of the selected text, the annotation window saves modified text corresponding to the selected text from the session file editor and audio associated with the modified text. The concatenation software concatenates modified text and audio associated therewith for two or more instances of the selected text. The training software trains a speech user profile using a concatenated file formed by the concatenating software.

Abstract: An apparatus for transforming data input by dividing the data input into a uniform dataset with one or more data divisions, processing the uniform dataset to produce a first processed dataset with one or more data divisions, processing the uniform dataset to produce a second processed dataset with one or more data divisions, wherein the first and second processed datasets have the same number of data divisions, and editing data selectively within each one of the one or more divisions of the first and second processed dataset. This apparatus has particular utility in error-spotting in processed datasets, and toward training a pattern recognition application, such as speech recognition, to produce more accurate processed datasets.

Abstract: A method for locating an audio segment within an audio file comprising (i) providing a first transcribed text file associated with the audio file; (ii) providing a second transcribed text file associated with the audio file; (iii) receiving a user input defining a text segment corresponding to the audio segment to be located; (iv) searching for the text segment in the first transcribed text file; and (v) displaying only those occurrences of the text segment within the first transcribed text file that are also a match to occurrences of the text segment within the second transcribed text file.

Abstract: An apparatus comprising a session file and session file editor with main window and one or more document windows and annotation window and lock/unlock features. The session file may include text, audio, image, and other data elements with source data divided into segments or other bounded divisions and other data elements associated to original data. The session file may be derived from processing third-party application output. These applications may run as plugins that load with the session file editor or on a server. The session file editor displays text and other content, provides text selection capability and plays back audio of session files with audio-linked text as embedded content, and supports entry of text. The session file editor supports locking a session file from a such that a locked file cannot be modified and saved by a user with the session file editor.

Abstract: An apparatus comprising a session file, session file editor, annotation window, concatenation software and training software. The session file includes one or more audio files and text associated with each audio file segment. The session file editor displays text and provides text selection capability and plays back audio. The annotation window operably associated with the session file editor supports user modification of the selected text, the annotation window saves modified text corresponding to the selected text from the session file editor and audio associated with the modified text. The session file editor and annotation window supports selective replacement of the audio and associated text within the session file, such that original audio and text would be inaccessible to users of the modified session file.

Abstract: The invention includes a method to determine time location of at least one audio segment in an original audio file comprising: (a) receiving the original audio file; (b) transcribing a current audio segment from the original audio file using speech recognition software; (c) extracting a transcribed element and a binary audio stream corresponding to the transcribed element from the speech recognition software; (d) saving an association between the transcribed element and the corresponding binary audio stream; (e) repeating (b) through (d) for each audio segment in the original audio file; (f) for each transcribed element, searching for the associated binary audio stream in the original audio file, while tracking an end time location of that search within the original audio file; and (g) inserting the end time location for each binary audio stream into the transcribed element-corresponding binary audio stream association.

Abstract: The invention includes a computer implemented method to map an audio file to a verbatim text file. First, a first window may be loaded with a transcribed text file having words. The transcribed text file is associated with the audio file. A second window is loaded with the verbatim text file having a plurality of words. At least one word from the transcribed text file and at least one word from the verbatim text file are selected. The at least one word from the transcribed text file and the at least one word from the verbatim text file is linked. The steps are repeated until all the words in the verbatim text file have been linked.