Abstract
A system computer readable medium and method for sampling a speech signal; dividing the sampled speech signal into overlapped frames; extracting first pitch information from a frame using frequency domain analysis; providing at least one pitch candidate each being associated with a spectral score from the first pitch information each of the at least one pitch candidate representing a possible pitch estimate for the frame; extracting second pitch information from the frame using a time domain analysis; providing a correlation score for the at least one pitch candidate from the second pitch information; and selecting one of the at least one pitch candidate to represent the pitch estimate of the frame. The system computer readable medium and method are suitable for speech coding and for distributed speech recognition.
| Technology | Declaration Information | Specification Information | Explicitly Disclosed | Patent Type | |||||
|---|---|---|---|---|---|---|---|---|---|
| Declaration Date | Declaration Reference | Declaring Company | Specification Number | ||||||
| 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC | No | Family Member | ||||
| Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC | Yes | Basis Patent | ||||
Specification Information
Specification Information
Technologies
Family Information
| All Granted Patents In Patent Family : | ---- |
| All Pending Patents In Patent Family : | ---- |
| Publication No | Technology | Declaration Information | Specification Information | Explicitly Disclosed | Patent Type | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Declaration Date | Declaration Reference | Declaring Company | Specification Number | |||||||
| KR100773000B1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| KR100773000B1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| KR100773000B1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| KR100773000B1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| KR100773000B1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| KR100773000B1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| KR20050120696A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| KR20050120696A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| KR20050120696A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| KR20050120696A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| KR20050120696A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| KR20050120696A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| US2004193407A1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| US2004193407A1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| US2004193407A1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| US2004193407A1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| US2004193407A1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| US2004193407A1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| CN100589178C | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| CN100589178C | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| CN100589178C | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| CN1826632A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| CN1826632A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| CN1826632A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| JP2006523331A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| JP2006523331A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| JP2006523331A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| JP2006523331A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| JP2006523331A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| JP2006523331A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844A2 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| EP1620844A2 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844A2 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| EP1620844A2 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844A2 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844A2 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844A4 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| EP1620844A4 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844A4 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| EP1620844A4 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844A4 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844A4 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844B1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | Yes | Basis Patent | ||||
| EP1620844B1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844B1 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| EP1620844B1 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| EP1620844B1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
Yes | Basis Patent | |||
| EP1620844B1 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004095420A2 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| WO2004095420A2 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004095420A2 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004095420A3 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| WO2004095420A3 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004095420A3 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004090865A2 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| WO2004090865A2 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004090865A2 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004090865A3 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| WO2004090865A3 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| WO2004090865A3 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| JP4755585B2 | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| JP4755585B2 | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| JP4755585B2 | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| TW200509065A | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| TW200509065A | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| TW200509065A | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| TWI322410B | 5G,4G,3G,2G | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC | No | Family Member | ||||
| TWI322410B | Not Available | 16/12/2010 | ISLD-201101-006 | MOTOROLA INC |
S1
|
No | Family Member | |||
| TWI322410B | Not Available | 16/12/2010 | ISLD-201101-008 | MOTOROLA INC |
S1
|
No | Family Member | |||
| Publication No | Technology | Declaration Information | Specification Information | Explicitly Disclosed | Patent Type | Status | National Phase Entries | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Declaration Date | Declaration Reference | Declaring Company | Specification Information | |||||||||
| ----- | ----- | ----- | ----- | ----- |
S1
|
----- | ----- | ----- | ----- | |||
Technologies
Signal Processing
Product
Use Cases
Network Optimization
Services
Claim
1. A method comprising:
sampling a speech signal;
dividing the sampled speech signal into overlapping frames;
extracting first pitch information from a frame using frequency domain analysis;
providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;
determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;
providing a correlation score for each of the at least one pitch candidate within the second pitch information; and
selecting one of the at least one pitch candidate as a pitch estimate of the frame.', 'sampling a speech signal;', 'dividing the sampled speech signal into overlapping frames;', 'extracting first pitch information from a frame using frequency domain analysis;', 'providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;', 'determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;', 'providing a correlation score for each of the at least one pitch candidate within the second pitch information; and', 'selecting one of the at least one pitch candidate as a pitch estimate of the frame.
2. The method of claim 1, wherein the selecting comprises:
selecting as the pitch estimate one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with a best probability of matching the a pitch of the frame.', 'selecting as the pitch estimate one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with a best probability of matching the a pitch of the frame.
3. The method of claim 2, wherein the selecting comprises:
computing a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and;
selecting the pitch estimate as the at least one pitch candidate that is associated with the best combination of spectral score, correlation score and match measure, thereby indicating the one pitch candidate with the best probability of matching the pitch of the frame.', 'computing a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and;', 'selecting the pitch estimate as the at least one pitch candidate that is associated with the best combination of spectral score, correlation score and match measure, thereby indicating the one pitch candidate with the best probability of matching the pitch of the frame.
4. The method of claim 1, wherein the at least one pitch candidate comprise not more than six pitch candidates representing not more than possible six pitch estimates for the frame.
5. The method of claim 1, wherein the spectral score of the at least one pitch candidate indicates a measure of compatibility of a pitch value with spectral peaks found in a spectrum of the frame.
6. The method of claim 1, wherein the determining second pitch information comprises:
combining the frame with the a previous frame into an extended frame; and
computing a downsampled extended frame by low-pass filtering and down sampling the extended frame.', 'combining the frame with the a previous frame into an extended frame; and', 'computing a downsampled extended frame by low-pass filtering and down sampling the extended frame.
7. The method of claim 6, wherein the providing correlation score comprises:
calculation of cross correlation between two fragments of the downsampled extended frame.', 'calculation of cross correlation between two fragments of the downsampled extended frame.
8. The method of claim 7, wherein the two fragments are of a predefined length and are delayed relative to each other by a lag value corresponding to each of the at least one pitch candidate.
9. The method of claim 8, wherein the position of the two fragments within the downsampled extended frame is selected by maximizing the total energy of the fragments
10. The method of claim 1, further comprising:
selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and
coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates.', 'selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and', 'coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates
11. The method of claim 10, wherein the representation of the sampled speech signal is used in a distributed speech recognition system
12. A distributed speech recognition system comprising:
a distributed speech recognition front-end for extracting features of a speech signal, the distributed speech recognition front-end comprising:
a memory;
a processor, communicatively coupled with the memory; and
a pitch extracting processor, communicatively coupled with the memory and the processor, for:
sampling a speech signal;
dividing the sampled speech signal into overlapped frames;
extracting first pitch information from a frame using frequency domain analysis;
providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;
determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;
providing a correlation score for each of the at least one pitch candidate within the second pitch information; and
selecting one of the at least one pitch candidate as a pitch estimate of the frame.', 'a distributed speech recognition front-end for extracting features of a speech signal, the distributed speech recognition front-end comprising:
a memory;
a processor, communicatively coupled with the memory; and
a pitch extracting processor, communicatively coupled with the memory and the processor, for:
sampling a speech signal;
dividing the sampled speech signal into overlapped frames;
extracting first pitch information from a frame using frequency domain analysis;
providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;
determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;
providing a correlation score for each of the at least one pitch candidate within the second pitch information; and
selecting one of the at least one pitch candidate as a pitch estimate of the frame.', 'a memory;', 'a processor, communicatively coupled with the memory; and', 'a pitch extracting processor, communicatively coupled with the memory and the processor, for:
sampling a speech signal;
dividing the sampled speech signal into overlapped frames;
extracting first pitch information from a frame using frequency domain analysis;
providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;
determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;
providing a correlation score for each of the at least one pitch candidate within the second pitch information; and
selecting one of the at least one pitch candidate as a pitch estimate of the frame.', 'sampling a speech signal;', 'dividing the sampled speech signal into overlapped frames;', 'extracting first pitch information from a frame using frequency domain analysis;', 'providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;', 'determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;', 'providing a correlation score for each of the at least one pitch candidate within the second pitch information; and', 'selecting one of the at least one pitch candidate as a pitch estimate of the frame.13. The distributed speech recognition system of claim 12, wherein the pitch extracting processor for selecting:
selects the one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with the best probability of matching the pitch of a frame.', 'selects the one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with the best probability of matching the pitch of a frame.14. The distributed speech recognition system of claim 13, wherein the pitch extracting processor for selecting:
computes a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and;
selects the pitch estimate as the at least one pitch candidate that is associated with the best combination of spectral score, correlation score and the match measure, thereby indicating the one pitch candidate with the best probability of matching the pitch of the frame.', 'computes a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and;', 'selects the pitch estimate as the at least one pitch candidate that is associated with the best combination of spectral score, correlation score and the match measure, thereby indicating the one pitch candidate with the best probability of matching the pitch of the frame.15. The distributed speech recognition system of claim 12, wherein the at least one pitch candidate comprise not more than six pitch candidates representing not more than possible six pitch estimates for the frame.16. The distributed speech recognition system of claim 12, wherein the spectral score of the at least one pitch candidate indicates a measure of compatibility of a pitch value with spectral peaks found in the spectrum of the frame.17. The distributed speech recognition system of claim 12, wherein the pitch extracting processor for determining second pitch information:
combines the frame with a previous frame into an extended frame; and
computes a downsampled extended frame by low-pass filtering and down sampling the extended frame.', 'combines the frame with a previous frame into an extended frame; and', 'computes a downsampled extended frame by low-pass filtering and down sampling the extended frame.18. The distributed speech recognition system of claim 17, wherein the pitch extracting processor for providing correlation score:
calculates a cross of correlation between two fragments of the downsampled extended frame.', 'calculates a cross of correlation between two fragments of the downsampled extended frame.19. The distributed speech recognition system of claim 18, wherein the two fragments are of a predefined length and are delayed relative to each other by a lag value corresponding to each of the at least one pitch candidate.
20. The distributed speech recognition system of claim 19, wherein the position of the two fragments within the downsampled extended frame is selected by maximizing the total energy of the fragments.
21. The distributed speech recognition system of claim 12, wherein the pitch extracting processor is further for:
selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and
coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates.', 'selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and', 'coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates.
22. A computer readable medium comprising computer instructions for a speech processing system, the computer instructions including instructions for:
sampling a speech signal;
dividing the sampled speech signal into overlapped frames;
extracting first pitch information from a frame using frequency domain analysis;
providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;
determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;
providing a correlation score for each of the at least one pitch candidate within the second pitch information; and
selecting one of the at feast one pitch candidate as a pitch estimate of the frame.', 'sampling a speech signal;', 'dividing the sampled speech signal into overlapped frames;', 'extracting first pitch information from a frame using frequency domain analysis;', 'providing at least one pitch candidate, each being coupled with a spectral score, from the first pitch information, each of the at least one pitch candidate representing a possible pitch estimate for the frame;', 'determining second pitch information for the frame by calculating time domain correlation values at lag values selected based upon each of the at least one pitch candidate;', 'providing a correlation score for each of the at least one pitch candidate within the second pitch information; and', 'selecting one of the at feast one pitch candidate as a pitch estimate of the frame.
23. The computer readable medium of claim 22, wherein the selecting comprises:
selecting as the pitch estimate one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with a best probability of matching a pitch of the frame.', 'selecting as the pitch estimate one of the at least one pitch candidate that is associated with a best combination of spectral score and correlation score thereby indicating a pitch candidate with a best probability of matching a pitch of the frame.
24. The computer readable medium of claim 22, wherein the selecting comprises:
computing a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and
selecting the pitch estimate as the at least one pitch candidate that is associated with best combination of spectral score, correlation score and match measure, thereby indicating one pitch candidate with the best probability of matching the pitch of the frame.', 'computing a corresponding match measure for each of the at least one of pitch candidate and a selected pitch estimate for a previous frame; and', 'selecting the pitch estimate as the at least one pitch candidate that is associated with best combination of spectral score, correlation score and match measure, thereby indicating one pitch candidate with the best probability of matching the pitch of the frame.
25. The computer readable medium of claim 22, wherein the spectral score of the at least one pitch candidate indicates a measure of compatibility of a pitch value with spectral peaks found in the spectrum of the frame.
26. The computer readable medium of claim 22, wherein the determining second pitch information comprises:
combining the frame with a previous frame into an extended frame; and
computing a downsampled extended frame by low-pass filtering and down sampling the extended frame.', 'combining the frame with a previous frame into an extended frame; and', 'computing a downsampled extended frame by low-pass filtering and down sampling the extended frame.
27. The computer readable medium of claim 26, wherein the providing correlation score comprises:
calculation of cross correlation between two fragments of the downsampled extended frame.', 'calculation of cross correlation between two fragments of the downsampled extended frame.
28. The computer readable medium of claim 27, wherein the two fragments are of a predefined length and are delayed relative to each other by a lag value corresponding to each of the at least one pitch candidate.
29. The computer readable medium of claim 22, wherein the computer instructions further including instructions for:
selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and
coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates.', 'selecting a plurality of pitch estimates, the plurality of pitch estimates comprising a corresponding pitch estimate for each of a plurality of frames of the sampled speech signal; and', 'coding a representation of the sampled speech signal, the representation comprising the plurality of pitch estimates.
30. The computer readable medium of claim 29, wherein the representation of the sampled speech signal is transmitted to another component of a distributed speech recognition system.']
Associated Portfolios
Licensor Claim Chart
 Claim Chart |
 Technology |
 Creation Date |
 Download |
|---|---|---|---|
|
Claim charts will soon be available!
|
|||
SUMMARY
ClaimChart-US6988064B2-STO
Patent number:US6988064B2
Claim Chart Type : SEP Claim Chart
Price: 200 €
To view claim charts you must become a Gold or Platinum Member.
Upgrade your subscriptionYou have reached the maximum number of patents which can be associated to your account per your subscription. If you wish to associate more patents
Please upgrade your subscription.Note:
The information in blue was extracted from the third parties (Standard Setting Organisation, Espacenet)
The information in grey was provided by the patent holder
The information in purple was extracted from the FrandAvenue
Explicitly disclosed patent:openly and comprehensibly describes all details of the invention in the patent document.
Implicitly disclosed patent:does not explicitly state certain aspects of the invention, but still allows for these to be inferred from the information provided.
Basis patent:The core patent in a family, outlining the fundamental invention from which related patents or applications originate.
Family member:related patents or applications that share a common priority or original filing.