SPEECH SKILLS ASSESSMENT

• US 20080300874A1
• Filed: 06/04/2008
• Published: 12/04/2008
• Est. Priority Date: 06/04/2007
• Status: Abandoned Application

• Current Assignee: Nexidia Incorporated (Nice Ltd)
• Original Assignee: Nexidia Incorporated (Nice Ltd)
• Inventors: Willcutts, John, Gavalda, Marsal
• Application Number:
  US12/132,745
• Publication Number:
  US 20080300874A1
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G09B 19/04 Speaking with audible presentation of the material to be studied G09B5/04
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

An approach to evaluating a person'"'"'s speech skills includes automatically processing speech of a person and text some or all of which corresponds to the speech. In some examples, a job application procedure includes collecting speech from an applicant, and using text corresponding to the collected speech to automatically assess speech skills of the applicant. The text may include text that is presented to the applicant and the speech collected from the applicant can include the applicant reading the presented text.

Claims

1. An method comprising:

accepting a speech signal corresponding to some or all of a text;

determining an association of the speech signal to the text; and

using the determined association to compute a level of speech skills of a speaker of the speech signal.

2. The method of claim 1 further comprising:

presenting the text to the speaker.

3. The method of claim 1 wherein accepting the speech signal includes recording the speech signal.

4. The method of claim 1 wherein determining the association of the speech signal to the text includes identifying time associations of portions of the text with portions of the speech signal.

5. The method of claim 4 wherein the speech signal includes portions not associated with the text.

6. The method of claim 4 wherein the text includes portions not associated with the speech signal.

7. The method of claim 1 wherein using the determined association to compute the level of speech skill includes computing scores characterizing one or more of

(a) a match between words spoken in the speech signal and the text,

(b) pronunciation match between linguistic units spoken in the speech signal and corresponding portions of the text,

(c) fluency of the speech signal, and

(c) prosodic match.

8. The method of claim 1 wherein determining the association of the speech signal to the text includes applying an automated speech processing procedure to align at least some of the text with at least some of the speech signal, and using the determined association includes determining quantitative assessments associated with the speaker'"'"'s level of speech skills based on the alignment of the text with the speech.

9. The method of claim 8 wherein determining the quantitative assessments includes determining a score pronunciation score and determining a fluency score for the speaker.

10. The method of claim 9 further comprising combining the determined quantitative assessments to form a speech skills score for the speaker.

11. A method for evaluating a job applicant comprising:

accepting application data from the job applicant;

eliciting speech corresponding to an associated text from the applicant;

automatically determining a level of speech skill based on the elicited speech and the associated text; and

storing data associated with the determined level of skill in association with the application data accepted from the job applicant.

12. A system for assessing a level of speech skills of a user, the system comprising:

an interface module for accepting a speech signal corresponding to a text;

an alignment module for determining an association of the speech signal to the text; and

an analysis module for using the determined association to assess a level of speech skill of a speaker of the speech signal.

13. The system of claim 12 wherein the interface module is configured to accept communication with a remote device in the proximity of the speaker over a communication network.

14. The method of claim 13 wherein the interface module is configured to communicate with a remote software component for prompting the speaker and accepting the speech signal from the speaker.

15. A job application system comprising:

an interface for accepting application data from the job applicant, and for eliciting speech corresponding to an associated text from the applicant;

a speech analysis component configured to determine a level of speech skill based on the elicited speech and the associated text; and

an application data storage for storing the determined level of skill in association with the application data accepted from the job applicant.