Speech understanding method and system

• US 9,552,815 B2
• Filed: 01/29/2013
• Issued: 01/24/2017
• Est. Priority Date: 03/12/2008
• Status: Active Grant

• Current Assignee: Appy Risk Technologies Limited (Trak Global Group Ltd.)
• Original Assignee: Ridetones, Inc.
• Inventors: Basir, Otman A., Miners, William Ben
• Primary Examiner(s): Ortiz Sanchez, Michael
• Application Number:
  US13/753,105
• Publication Number:
  US 20130218563A1
• Time in Patent Office: 1,456 Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 15/28 Constructional details of speech recognition systems
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/025 Phonemes, fenemes or fenones being the recognition units

Abstract

A speech recognition system includes a mobile device and a remote server. The mobile device receives the speech from the user and extracts the features and phonemes from the speech. Selected phonemes and measures of uncertainty are transmitted to the server, which processes the phonemes for speech understanding and transmits a text of the speech (or the context or understanding of the speech) back to the mobile device.

Claims

1. A speech recognition system including:

a transducer for receiving audible speech;

a phonetic decomposition module extracting phonemes based upon the audible speech received by the transducer;

a controller collecting and sending supplemental, non-verbal information relating to the audible speech, wherein the supplemental, non-verbal information is not based upon or derived from the audible speech; and

a transmitter for sending the phonemes and the supplemental, non-verbal information.

2. The speech recognition system of claim 1 further including a receiver for receiving information generated based upon the phonemes transmitted by the transmitter.

3. The speech recognition system of claim 1 wherein the controller determines whether the audible speech has a high recognition uncertainty.

4. The speech recognition system of claim 3 wherein the controller sends via the transmitter supplemental, non-verbal information based upon the determination that the audible speech has high recognition uncertainty.

5. The mobile device of claim 4 wherein the supplemental, non-verbal information includes images of a mouth of a person who is speaking the audible speech.

6. The speech recognition system of claim 3 wherein the controller sends the phonemes via the transmitter based upon the determination that the audible speech has high recognition uncertainty.

7. The speech recognition system of claim 3 wherein the speech recognition system processes the phonemes based upon a determination that the audible speech does not have high recognition uncertainty, and sends the phonemes based upon the determination that the audible speech has high recognition uncertainty.

8. A speech recognition system of claim 1 further including a server receiving the phonemes from the transmitter, the server processing the phonemes to determine context.

9. The speech recognition system of claim 8 wherein the server sends information to the mobile device based upon the context of the phonemes.

10. The speech recognition system of claim 9 wherein the server determines context based upon the phonemes and based upon supplemental, non-verbal information.

11. The speech recognition system of claim 10 wherein the supplemental, non-verbal information includes a current task.

12. The speech recognition system of claim 10 wherein the supplemental, non-verbal information includes historical behavior patterns.

13. The speech recognition system of claim 10 wherein the mobile device decides whether the transmitter will send supplemental, non-verbal information based upon a determination of whether the audible speech has high recognition uncertainty.

14. The speech recognition system of claim 13 wherein the supplemental, non-verbal information includes parameters of a mouth of a person who is speaking the audible speech.