Processing speech recognition errors in an embedded speech recognition system

• US 20020123894A1
• Filed: 03/01/2001
• Published: 09/05/2002
• Est. Priority Date: 03/01/2001
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Woodward, Steven G.
• Application Number:
  US09/798,825
• Publication Number:
  US 20020123894A1
• Time in Patent Office: Days
• US Class Current: 704/260
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering
• CPC Class Codes: G10L 2015/221 Announcement of recognition results

Abstract

A method of processing misrecognized speech in an embedded speech recognition system incorporating a finite state grammar. The method can include the following steps: first, responsive to receiving notification of a misrecognition error, a list of contextually valid phrases in the speech recognition system can be presented to the speaker. Second, a list words can be presented which form a selected one of the contextually valid phrases. Third, one or more selected words in the second presented list can be stored. Notably, the one or more selected words include corrections to said misrecognition error. Finally, the stored words can be processed in a local speech training program. More particularly, the local speech training program can incorporate the corrections into an acoustic model for the embedded speech recognition system.

Claims

1. In an embedded speech recognition system incorporating a finite state grammar, a method for processing misrecognized speech comprising:

responsive to receiving notification of a misrecognition error, first presenting a list of contextually valid phrases in the speech recognition system;

second presenting a list of words which form a selected one of said contextually valid phrases;

storing one or more selected words in said second presented list, said one or more selected words comprising corrections to said misrecognition error; and

,

processing said stored words in a local speech training process, said process incorporating said corrections into an acoustic model for the embedded speech recognition system.

2. The method of claim 1, wherein said first presenting step comprises visually presenting a list of contextually valid phrases in a user interface.

3. The method of claim 1, wherein said first presenting step comprises audibly presenting a list of contextually valid phrases in the speech recognition system.

4. The method of claim 2, wherein said first presenting step further comprises audibly presenting a list of contextually valid phrases in the speech recognition system.

5. The method of claim 3, wherein said step of audibly presenting said list comprises:

text-to-speech (TTS) converting said list of contextually valid phrases in the speech recognition system; and

,

audibly presenting said TTS converted list.

6. A machine readable storage, having stored thereon a computer program for processing misrecognition speech in an embedded speech recognition system, said computer program having a plurality of code sections executable by a machine for causing the machine to perform the steps of:

responsive to receiving notification of a misrecognition error, first presenting a list of contextually valid phrases in the speech recognition system;

second presenting a list words which form a selected one of said contextually valid phrases;

storing one or more selected words in said second presented list, said one or more selected words comprising corrections to said misrecognition error; and

,

processing said stored words in a local speech training process, said process incorporating said corrections into an acoustic model for the embedded speech recognition system.

7. The machine readable storage of claim 6, wherein said first presenting step comprises visually presenting a list of contextually valid phrases in a user interface.

8. The machine readable storage of claim 6, wherein said first presenting step comprises audibly presenting a list of contextually valid phrases in the speech recognition system.

9. The machine readable storage of claim 7, wherein said first presenting step further comprises audibly presenting a list of contextually valid phrases in the speech recognition system.

10. The machine readable storage of claim 8, wherein said step of audibly presenting said list comprises:

text-to-speech (TTS) converting said list of contextually valid phrases in the speech recognition system; and

,

audibly presenting said TTS converted list.