System and Method for Community Feedback and Automatic Ratings for Speech Metrics

• US 20120278075A1
• Filed: 04/25/2012
• Published: 11/01/2012
• Est. Priority Date: 04/26/2011
• Status: Abandoned Application

• Current Assignee: Ariel Velikovsky, Eyal Eshed, Sherrie Ellen Shammass
• Original Assignee: Ariel Velikovsky, Eyal Eshed, Sherrie Ellen Shammass
• Inventors: Shammass, Sherrie Ellen, Eshed, Eyal, Velikovsky, Ariel
• Application Number:
  US13/455,156
• Publication Number:
  US 20120278075A1
• Time in Patent Office: Days
• US Class Current: 704/236
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 25/48 specially adapted for particular use

Abstract

A system and method for collecting from an ASR, a first rating of an intelligibility of human speech, and collecting another intelligibility rating of such speech from networked listeners to such speech. The first rating and the second rating are weighed based on an importance to a user of the ratings, and a third rating is created from such weighted two ratings.

Claims

1. A method for rating an intelligibility of human speech, comprising:

collecting a first intelligibility rating of said human speech from an automated speech recognition system;

collecting a second intelligibility rating of said human speech from human listeners to said human speech; and

combining said first rating and said second rating by weighing an importance of said first rating and said second rating, to produce a third rating.

2. The method as in claim 1, comprising:

recording said human speech; and

providing network access to said recorded human speech to said human listeners; and

wherein said collecting comprises collecting a plurality of said second

ratings from a plurality of said human listeners over said network.

3. The method as in claim 1, comprising accepting a signal from a user as to a value of said first rating and a value of said second rating, and wherein said combining comprises combining said first rating and said second rating using said accepted value of said first rating and said accepted value of said second rating.

4. The method as in claim 1, comprising:

accepting from a user an indication of a characteristic of said human listeners; and

selecting said users to match said indication.

5. The method as in claim 1, wherein said combining comprises minimizing a weighting of said second rating if said collecting said second rating fails to meet a pre-defined threshold.

6. The method as in claim 5, minimizing said weighting of said second rating if said second rating fails to meet a pre-defined threshold selected from the group consisting of a number of said human listeners from whom said second rating has been collected, and a qualification of said human listeners from whom said second rating has been collected.

7. A system comprising:

a memory to

collect a first intelligibility rating of a human speech, said first rating produced by an automated speech recognition system;

collect a second intelligibility rating of a human speech, said second rating produced by human listeners to said human speech; and

a processor to weigh an importance of said first rating and said second rating, and to generate a third intelligibility rating.

8. The system as in claim 7, wherein said memory is to record said human speech, and said processor is to provide said human listeners with networked access to said recorded human speech.

9. The system as in claim 7, wherein said processor is to accept from a user a characteristic of said human listeners.

10. The system as in claim 9, wherein said processor is to select said human listener only if said characteristic is present in said listener.