SPEECH DATA PROCESSING DEVICE, SPEECH DATA PROCESSING METHOD, AND SPEECH DATA PROCESSING PROGRAM

• US 20150348571A1
• Filed: 05/27/2015
• Published: 12/03/2015
• Est. Priority Date: 05/29/2014
• Status: Abandoned Application

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: SUZUKI, Takayuki, KOSHINAKA, Takafumi
• Application Number:
  US14/722,455
• Publication Number:
  US 20150348571A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering
• CPC Class Codes: G10L 25/60 for measuring the quality of voice signals

Abstract

A data processing device, method and non-transitory computer-readable storage medium are disclosed. A data processing device may include a memory storing instructions, and at least one processor configured to process the instructions to divide a first speech data into first segments based on a data structure of the first speech data, classify the first segments into first clusters through clustering, generate a first segment speech model for each of the first clusters, and calculate a similarity between the first segment speech models and a second speech data.

Claims

1. A speech data processing device comprising:

a memory storing instructions; and

at least one processor configured to process the instructions to;

divide a first speech data into first segments based on a data structure of the first speech data,

classify the first segments into first clusters through clustering,

generate a first segment speech model for each of the first clusters, and

calculate a similarity between the first segment speech models and a second speech data.

2. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

divide the first speech data into second segments using the generated first segment speech models, and

generate second segment speech models for the second segments.

3. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

calculate an optimum alignment for the second speech data, and

calculate a similarity between the first speech data and the second speech data based on the optimum alignment.

4. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

divide the first speech data into the first segments by calculating an optimum alignment for the first speech data.

5. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

divide the first speech data into the first segments by dividing the first speech data at predetermined time intervals.

6. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

divide the first speech data into the first segments by detecting a change point of a value represented by the first speech data.

7. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

calculate a distance among the first segments based on variance-covariance matrices of feature vectors included in the first segments, and

execute clustering based on the calculated distances.

8. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

divide the second speech data into second segments,

generate second segment speech models of second clusters of the second segments, and

calculate a similarity between the first speech data and the second speech data using the first and second segment speech models.

9. The speech data processing device according to claim 8, wherein the at least one processor is configured to process the instructions to:

divide the second speech data into the second segments and the first speech data into the first segments by calculating an optimum alignment for the first speech data and the second speech data.

10. The speech data processing device according to claim 1, wherein the at least one processor is configured to process the instructions to:

calculate a similarity between each of a plurality of the first speech data and the second speech data, and

output an identifier for the first speech data based on the calculated similarity.

11. A speech data processing method comprising:

dividing first speech data into first segments based on a data structure of the first speech data;

classifying the first segments into first clusters through clustering;

generating a first segment speech model for each of the first clusters; and

calculating a similarity between the first segment speech models and second speech data.

12. The speech data processing method according to claim 11, further comprising:

dividing the first speech data into second segments using the generated first segment speech models, and

generating second segment speech models for the second segments.

13. The speech data processing method according to claim 11, further comprising:

calculating an optimum alignment for the second speech data, and

calculating a similarity between the first speech data and the second speech data based on the optimum alignment.

14. The speech data processing method according to claim 11, further comprising:

dividing the first speech data into the first segments by calculating an optimum alignment for the first speech data.

15. The speech data processing method according to claim 11, further comprising:

dividing the second speech data into second segments,

generating second segment speech models of second clusters of the second segments, and

calculating a similarity between the first speech data and the second speech data using the first and second segment speech models.

16. A non-transitory computer-readable storage medium storing instructions that when executed by a computer enable the computer to implement a method comprising:

dividing first speech data into first segments based on a data structure of the first speech data;

classifying the first segments into first clusters through clustering;

generating a first segment speech model for each of the first clusters; and

calculating a similarity between the first segment speech models and second speech data.

17. The non-transitory computer-readable storage medium according to claim 16, wherein the method further comprises:

dividing the first speech data into second segments using the generated first segment speech models, and

generating second segment speech models for the second segments.

18. The non-transitory computer-readable storage medium according to claim 16, wherein the method further comprises:

calculating an optimum alignment for the second speech data, and

calculating a similarity between the first speech data and the second speech data based on the optimum alignment.

19. The non-transitory computer-readable storage medium according to claim 16, wherein the method further comprises:

dividing the first speech data into the first segments by calculating an optimum alignment for the first speech data.

20. The non-transitory computer-readable storage medium according to claim 16, wherein the method further comprises:

dividing the second speech data into second segments,

generating second segment speech models of second clusters of the second segments, and

calculating a similarity between the first speech data and the second speech data using the first and second segment speech models.