METHODS AND SYSTEMS FOR CORRECTING TRANSCRIBED AUDIO FILES

• US 20180081869A1
• Filed: 11/29/2017
• Published: 03/22/2018
• Est. Priority Date: 04/17/2006
• Status: Active Grant

• Current Assignee: III Holdings 1, LLC (Intellectual Ventures LLC)
• Original Assignee: III Holdings 1, LLC (Intellectual Ventures LLC)
• Inventors: Hager, Paul M.
• Granted Patent: US 10,861,438 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/31 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/065 Adaptation
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/0635 updating or merging of old and new templates; Mean values; Weighting

Abstract

Methods and systems for correcting transcribed text. One method includes receiving audio data from one or more audio data sources and transcribing the audio data based on a voice model to generate text data. The method also includes making the text data available to a plurality of users over at least one computer network and receiving corrected text data over the at least one computer network from the plurality of users. In addition, the method can include modifying the voice model based on the corrected text data.

Claims

1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising:

transcribing a first portion of audio data based on a voice-independent model to generate a first text data set, wherein the audio data is associated with more than one speaker;

making the text data set available to a plurality of users over at least one computer network;

in response to receiving a corrected text data set corresponding to the text data set over the at least one computer network from at least one user of the plurality of users, updating the voice-independent model based on the corrected text data set; and

transcribing a second portion of the audio data based on the voice-independent model as updated.

2. The memory device of claim 1, wherein at least one of the first portion of the audio data or the second portion of the audio data originates from a VoIP voicemail server.

3. The memory device of claim 1, wherein at least one of the first portion of the audio data or the second portion of the audio data originates from a client computer coupled to the at least one computer network.

4. The memory device of claim 1, wherein the operations further comprise extracting at least one of the first portion of the audio data or the second portion of the audio data from an e-mail message.

5. The memory device of claim 1, wherein the operations further comprise requesting the first portion of the audio data from the a remote audio data source.

6. The memory device of claim 5, wherein the operations further comprise prioritizing the first portion of the audio data.

7. The memory device of claim 1, wherein the operations further comprise sending an e-mail message notification to a user, the e-mail message notification identifying the text data set.

8. The memory device of claim 1, wherein the operations further comprise delivering the corrected text data set to a destination.

9. The memory device of claim 8, wherein the operations further comprise receiving information identifying the destination from a user.

10. The memory device of claim 1, wherein the first portion of the audio data includes a first remotely user-selected portion of the audio data, and wherein the second portion of the audio data includes a second remotely user-selected portion of the audio data.