Abstract
A dispersed vector generator used for a speech encoder or a speech decoder includes a pulse vector provider that provides a pulse vector having a signed unit pulse on one element of a vector axis. A dispersion pattern determiner determines a dispersion pattern of a set of waveforms defined before a start of encoding or decoding. A dispersed vector generator convolutes the pulse vector and the determined dispersion pattern to generate a dispersed vector. A length of the waveforms is shorter than a length of a sub-frame.
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| 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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Specification Information
Specification Information
Technologies
Family Information
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| 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 | |||||||
| US6415254B1 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 | Yes | Basis Patent | ||||
| US6415254B1 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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| CA2275266A1 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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| US7024356B2 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 | Yes | Basis Patent | ||||
| US7024356B2 | 5G,4G,3G,2G | 14/10/2020 | ISLD-202010-001 | GODO KAISHA IP BRIDGE 1 |
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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No | Family Member | |||
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| Publication No | Technology | Declaration Information | Specification Information | Explicitly Disclosed | Patent Type | Status | National Phase Entries | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Declaration Date | Declaration Reference | Declaring Company | Specification Information | |||||||||
| ----- | ----- | ----- | ----- | ----- |
S1
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Technologies
Signal Processing
Product
Use Cases
Services
Claim
1. A speech encoder, comprising:
an adaptive codebook that generates an adaptive codevector representing a pitch component;
a random codebook that generates a random codevector representing a random component;
a synthesis filter that uses filter coefficients obtained by analyzing an input speech signal and generates a synthetic speech signal by being excited by the adaptive codevector and the random codevector, and
a distortion calculator that calculates a distortion between the input speech signal and the synthetic speech signal,
wherein the random codebook comprises:
an input vector provider that provides an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;
a dispersion pattern determiner that determines a dispersion pattern out of a set of waveforms defined before a start of encoding; and
a dispersed vector generator that convolutes the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,
wherein a length of the waveforms is shorter than a length of a sub-frame, and
wherein the distortion calculator comprises:
a system that computes power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector, computes an auto-correlation matrix, HtH, of the filter coefficients of the synthesis filter and calculates a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;
a system that calculates a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;
a system that calculates a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and
a calculator that calculates the distortion using the third matrix and the random codevector,
wherein
p is the adaptive codevector,
H is the synthesis filter coefficient matrix, and
t denotes transpose.', 'an adaptive codebook that generates an adaptive codevector representing a pitch component;', 'a random codebook that generates a random codevector representing a random component;', 'a synthesis filter that uses filter coefficients obtained by analyzing an input speech signal and generates a synthetic speech signal by being excited by the adaptive codevector and the random codevector, and', 'a distortion calculator that calculates a distortion between the input speech signal and the synthetic speech signal,', 'wherein the random codebook comprises:
an input vector provider that provides an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;
a dispersion pattern determiner that determines a dispersion pattern out of a set of waveforms defined before a start of encoding; and
a dispersed vector generator that convolutes the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,
wherein a length of the waveforms is shorter than a length of a sub-frame, and', 'an input vector provider that provides an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;', 'a dispersion pattern determiner that determines a dispersion pattern out of a set of waveforms defined before a start of encoding; and', 'a dispersed vector generator that convolutes the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,', 'wherein a length of the waveforms is shorter than a length of a sub-frame, and', 'wherein the distortion calculator comprises:
a system that computes power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector, computes an auto-correlation matrix, HtH, of the filter coefficients of the synthesis filter and calculates a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;
a system that calculates a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;
a system that calculates a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and
a calculator that calculates the distortion using the third matrix and the random codevector,', 'a system that computes power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector, computes an auto-correlation matrix, HtH, of the filter coefficients of the synthesis filter and calculates a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;', 'a system that calculates a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;', 'a system that calculates a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and', 'a calculator that calculates the distortion using the third matrix and the random codevector,', 'wherein
p is the adaptive codevector,
H is the synthesis filter coefficient matrix, and
t denotes transpose.', 'p is the adaptive codevector,', 'H is the synthesis filter coefficient matrix, and', 't denotes transpose.
2. The speech encoder according to claim 1,
wherein a shape of at least one of the waveforms is a pulse-like shape.', 'wherein a shape of at least one of the waveforms is a pulse-like shape.
3. The speech encoder according to claim 1,
wherein the dispersion pattern determiner determines the dispersion pattern according to a degree of strength and weakness of voice characteristics.', 'wherein the dispersion pattern determiner determines the dispersion pattern according to a degree of strength and weakness of voice characteristics.
4. A method of speech encoding, comprising:
generating an adaptive codevector representing a pitch component;
generating a random codevector representing a random component;
generating a synthetic speech signal by a synthesis filter being excited by the adaptive codevector and the random codevector, and
calculating coding distortion using the random codevector,
wherein the generating of the random codevector comprises:
providing an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;
determining a dispersion pattern out of a set of waveforms defined before a start of encoding; and
convoluting the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,
wherein a length of the waveforms is shorter than a length of a sub-frame, and
wherein the calculating of the coding distortion comprises:
computing power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector,
computing an auto-correlation matrix, HtH, of filter coefficients of the synthesis filter;
calculating a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;
calculating a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;
calculating a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and
calculating the coding distortion using the third matrix and the random codevector,
wherein
p is the adaptive codevector,
H is the synthesis filter coefficient matrix, and
t denotes transpose.', 'generating an adaptive codevector representing a pitch component;', 'generating a random codevector representing a random component;', 'generating a synthetic speech signal by a synthesis filter being excited by the adaptive codevector and the random codevector, and', 'calculating coding distortion using the random codevector,', 'wherein the generating of the random codevector comprises:
providing an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;
determining a dispersion pattern out of a set of waveforms defined before a start of encoding; and
convoluting the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,', 'providing an input vector having at least one pulse from an algebraic codebook table, each pulse having a pre-determined position and a respective polarity;', 'determining a dispersion pattern out of a set of waveforms defined before a start of encoding; and', 'convoluting the input vector and the determined dispersion pattern to generate a dispersed vector, as the random codevector,', 'wherein a length of the waveforms is shorter than a length of a sub-frame, and', 'wherein the calculating of the coding distortion comprises:
computing power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector,
computing an auto-correlation matrix, HtH, of filter coefficients of the synthesis filter;
calculating a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;
calculating a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;
calculating a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and
calculating the coding distortion using the third matrix and the random codevector,', 'computing power, ptHtHp, of a signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector,', 'computing an auto-correlation matrix, HtH, of filter coefficients of the synthesis filter;', 'calculating a first matrix, N=(ptHtHp)HtH, by multiplying each element of the auto-correlation matrix by the power;', 'calculating a second matrix, M, by providing a time reverse synthesis, rt=ptHtH, to the signal, Hp, obtained by synthesis in the synthesis filter using the adaptive codevector and by taking an outer product, M=rrt, of the resultant signal by the time reverse synthesis;', 'calculating a third matrix, L=Nâx88x92M, by using the first matrix and the second matrix; and', 'calculating the coding distortion using the third matrix and the random codevector,', 'wherein
p is the adaptive codevector,
H is the synthesis filter coefficient matrix, and
t denotes transpose.', 'p is the adaptive codevector,', 'H is the synthesis filter coefficient matrix, and', 't denotes transpose.', '5. The method according to claim 4,
wherein a shape of at least one of the waveforms is a pulse-like shape.', 'wherein a shape of at least one of the waveforms is a pulse-like shape.', '6. The method according to claim 4,
wherein the dispersion pattern is determined in the determining according to a degree of strength and weakness of voice characteristics.', 'wherein the dispersion pattern is determined in the determining according to a degree of strength and weakness of voice characteristics.']
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