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53 results about "Linear predictive analysis" patented technology

Linear predictive analysis is a simple form of first-order extrapolation: if it has been changing at this rate then it will probably continue to change at approximately the same rate, at least in the short term. This is equivalent to fitting a tangent to the graph and extending the line.

Signal modification method for efficient coding of speech signals

For determining a long-term-prediction delay parameter characterizing a long term prediction in a technique using signal modification for digitally encoding a sound signal, the sound signal is divided into a series of successive frames, a feature of the sound signal is located in a previous frame, a corresponding feature of the sound signal is located in a current frame, and the long-term-prediction delay parameter is determined for the current frame while mapping, with the long term prediction, the signal feature of the previous frame with the corresponding signal feature of the current frame. In a signal modification method for implementation into a technique for digitally encoding a sound signal, the sound signal is divided into a series of successive frames, each frame of the sound signal is partitioned into a plurality of signal segments, and at least a part of the signal segments of the frame are warped while constraining the warped signal segments inside the frame. For searching pitch pulses in a sound signal, a residual signal is produced by filtering the sound signal through a linear prediction analysis filter, a weighted sound signal is produced by processing the sound signal through a weighting filter, the weighted sound signal being indicative of signal periodicity, a synthesized weighted sound signal is produced by filtering a synthesized speech signal produced during a last subframe of a previous frame of the sound signal through the weighting filter, a last pitch pulse of the sound signal of the previous frame is located from the residual signal, a pitch pulse prototype of given length is extracted around the position of the last pitch pulse of the sound signal of the previous frame using the synthesized weighted sound signal, and the pitch pulses are located in a current frame using the pitch pulse prototype.
Owner:NOKIA TECHNOLOGLES OY

Signal modification method for efficient coding of speech signals

For determining a long-term-prediction delay parameter characterizing a long term prediction in a technique using signal modification for digitally encoding a sound signal, the sound signal is divided into a series of successive frames, a feature of the sound signal is located in a previous frame, a corresponding feature of the sound signal is located in a current frame, and the long-term-prediction delay parameter is determined for the current frame while mapping, with the long term prediction, the signal feature of the previous frame with the corresponding signal feature of the current frame. In a signal modification method for implementation into a technique for digitally encoding a sound signal, the sound signal is divided into a series of successive frames, each frame of the sound signal is partitioned into a plurality of signal segments, and at least a part of the signal segments of the frame are warped while constraining the warped signal segments inside the frame. For searching pitch pulses in a sound signal, a residual signal is produced by filtering the sound signal through a linear prediction analysis filter, a weighted sound signal is produced by processing the sound signal through a weighting filter, the weighted sound signal being indicative of signal periodicity, a synthesized weighted sound signal is produced by filtering a synthesized speech signal produced during a last subframe of a previous frame of the sound signal through the weighting filter, a last pitch pulse of the sound signal of the previous frame is located from the residual signal, a pitch pulse prototype of given length is extracted around the position of the last pitch pulse of the sound signal of the previous frame using the synthesized weighted sound signal, and the pitch pulses are located in a current frame using the pitch pulse prototype.
Owner:NOKIA CORP

Phonetic empathy Hash content authentication method capable of implementing tamper localization

The invention relates to a phonetic empathy Hash content authentication method capable of implementing tamper localization. The method comprises the following steps: pre-processing a voice signal, carrying out 10-order linear prediction analysis on each frame of the voice signal, and acquiring an LSP (line spectral pair) coefficient through the discrete Fourier transformation as the empathy characteristics; grouping the voice data in sequence, combining LSP coefficient weighted expectations of each group of the voice data as the final authentication data, and compressing the authentication data volume through a Hash structure; and finally, quickly authenticating the voice contents through the Hash match. The method can keep robustness for the operations such as changing the sound volume, resounding and resampling, is sensitive to malicious operations such as replacement and deletion, can accurately locate the tamper area, has the characteristics of low authentication data volume and high operation efficiency, and is suitable for resource-limited voice communication terminals.
Owner:LANZHOU UNIVERSITY OF TECHNOLOGY

Mute test method and device

The method detecting mute, avoiding excess linear prediction analysis to audio-frame only containing noise and having good detection rate and low complexity, includes: (1) pre-treating the first frame audio-frequency; (2) receiving next frame audio as current audio frame; (3) computing linear prediction weighting energy according to N-order linear prediction coefficient, in which N is a natural number; (4) predicting whether there is a voice signal according to the linear prediction weighing energy, if 'yes' which presents that the current frame is voice, going on next step, if 'no' which presents that the current frame is noise, turning to step (6); (5) linear predicting and analyzing current frame to obtain the N-order linear prediction coefficient of the frame itself to substitute the N-order linear prediction coefficient in original step (3); (6) judging whether current frame is the last one in frame series, if 'yes', ending, if 'no', turning to step (2).
Owner:SPREADTRUM COMM (SHANGHAI) CO LTD
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