Patents by Inventor Yao Huang Morin
Yao Huang Morin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10235993Abstract: An input signal may be classified by computing correlations between feature vectors of the input signal and feature vectors of reference signals, wherein the reference signals correspond to a class. The feature vectors of the input signal and/or the reference signals may be segmented to identify portions of the signals before performing the correlations. Multiple correlations of the segments may be combined to produce a segment score corresponding to a segment. The signal may then be classified using multiple segment scores, for example by comparing a combination of the segment scores to a threshold.Type: GrantFiled: June 14, 2016Date of Patent: March 19, 2019Assignee: Friday Harbor LLCInventors: David Carlson Bradley, Sean Michael O'Connor, Yao Huang Morin, Ellisha Natalie Marongelli
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Patent number: 9922668Abstract: An estimate of a fractional chirp rate of a signal may be computed by using multiple frequency representations of the signal. A first frequency representation may be computed using a first fractional chirp rate and a first score may be computed using the first frequency representation that indicates a match between the first fractional chirp rate and a fractional chirp rate of the signal. A second frequency representation may be computed using a second fractional chirp rate and a second score may be computed using the second frequency representation that indicates a match between the second fractional chirp rate and the fractional chirp rate of the signal. The fractional chirp rate of the signal may be estimated using the first score and the second score, for example, by selecting a fractional chirp rate corresponding to a highest score.Type: GrantFiled: December 15, 2015Date of Patent: March 20, 2018Assignee: KnuEdge IncorporatedInventors: David C. Bradley, Yao Huang Morin, Janis Intoy, Sean O'Connor, Nick Hilton, Massimo Mascaro
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Patent number: 9870785Abstract: Features that may be computed from a harmonic signal include a fractional chirp rate, a pitch, and amplitudes of the harmonics. A fractional chirp rate may be estimated, for example, by computing scores corresponding to different fractional chirp rates and selecting a highest score. A first pitch may be computed from a frequency representation that is computed using the estimated fractional chirp rate, for example, by using peak-to-peak distances in the frequency distribution. A second pitch may be computed using the first pitch, and a frequency representation of the signal, for example, by using correlations of portions of the frequency representation. Amplitudes of harmonics of the signal may be determined using the estimated fractional chirp rate and second pitch. Any of the estimated fractional chirp rate, second pitch, and harmonic amplitudes may be used for further processing, such as speech recognition, speaker verification, speaker identification, or signal reconstruction.Type: GrantFiled: December 15, 2015Date of Patent: January 16, 2018Assignee: KnuEdge IncorporatedInventors: David Carlson Bradley, Yao Huang Morin, Massimo Mascaro, Janis I. Intoy, Sean Michael O'Connor, Ellisha Natalie Marongelli, Robert Nicholas Hilton
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Patent number: 9842611Abstract: An estimate of a pitch of a signal may be computed by using peak-to-peak distances in a frequency representation of the signal. A frequency representation of the signal may be computed, peaks in the frequency representation may be identified, for example, by identifying peaks larger than a threshold value. Peak-to-peak distances may be determined using the locations in frequency of the peaks. The pitch of the signal may be estimated by, for example, estimating cumulative distribution function of the peak-to-peak distances or computing a histogram of the peak-to-peak distances.Type: GrantFiled: December 15, 2015Date of Patent: December 12, 2017Assignee: KnuEdge IncorporatedInventors: David C. Bradley, Yao Huang Morin, Ellisha Marongelli
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Patent number: 9704506Abstract: Devices, systems and methods are disclosed for reducing noise in input data by performing a hysteresis operation followed by a lateral excitation smoothing operation. For example, an audio signal may be represented as a sequence of feature vectors. A row of the sequence of feature vectors may, for example, be associated with the same harmonic of the audio signal at different points in time. To determine portions of the row that correspond to the harmonic being present, the system may compare an amplitude to a low threshold and a high threshold and select a series of data points that are above the low threshold and include at least one data point above the high threshold. The system may iteratively perform a spreading technique, spreading a center value of a center data point in a kernel to neighboring data points in the kernel, to further reduce noise.Type: GrantFiled: January 9, 2017Date of Patent: July 11, 2017Assignee: KNUEDGE, INC.Inventors: David C. Bradley, Yao Huang Morin
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Publication number: 20170148465Abstract: Devices, systems and methods are disclosed for reducing noise in input data by performing a hysteresis operation followed by a lateral excitation smoothing operation. For example, an audio signal may be represented as a sequence of feature vectors. A row of the sequence of feature vectors may, for example, be associated with the same harmonic of the audio signal at different points in time. To determine portions of the row that correspond to the harmonic being present, the system may compare an amplitude to a low threshold and a high threshold and select a series of data points that are above the low threshold and include at least one data point above the high threshold. The system may iteratively perform a spreading technique, spreading a center value of a center data point in a kernel to neighboring data points in the kernel, to further reduce noise.Type: ApplicationFiled: January 9, 2017Publication date: May 25, 2017Applicant: KNUEDGE, INC.Inventors: David C. Bradley, Yao Huang Morin
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Patent number: 9576589Abstract: Devices, systems and methods are disclosed for reducing noise in input data by performing a hysteresis operation followed by a lateral excitation smoothing operation. For example, an audio signal may be represented as a sequence of feature vectors. A row of the sequence of feature vectors may, for example, be associated with the same harmonic of the audio signal at different points in time. To determine portions of the row that correspond to the harmonic being present, the system may compare an amplitude to a low threshold and a high threshold and select a series of data points that are above the low threshold and include at least one data point above the high threshold. The system may iteratively perform a spreading technique, spreading a center value of a center data point in a kernel to neighboring data points in the kernel, to further reduce noise.Type: GrantFiled: February 5, 2016Date of Patent: February 21, 2017Assignee: KNUEDGE, INC.Inventors: David C Bradley, Yao Huang Morin
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Patent number: 9548067Abstract: An estimate of a pitch of a signal may be computed by using correlations of frequency portions of a frequency representation of the signal. An initial pitch estimate may be obtained and frequency portions of the frequency representation may be identified using multiples of the initial pitch estimate. Correlations of the frequency portions may be computed, and a score for the initial pitch estimate may be determined using the correlations. A second pitch estimate may be determined using the first score, and the process may be repeated.Type: GrantFiled: December 15, 2015Date of Patent: January 17, 2017Assignee: KNUEDGE INCORPORATEDInventors: David C. Bradley, Yao Huang Morin, Sean O'Connor
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Publication number: 20160232917Abstract: Devices, systems and methods are disclosed for reducing noise in input data by performing a hysteresis operation followed by a lateral excitation smoothing operation. For example, an audio signal may be represented as a sequence of feature vectors. A row of the sequence of feature vectors may, for example, be associated with the same harmonic of the audio signal at different points in time. To determine portions of the row that correspond to the harmonic being present, the system may compare an amplitude to a low threshold and a high threshold and select a series of data points that are above the low threshold and include at least one data point above the high threshold. The system may iteratively perform a spreading technique, spreading a center value of a center data point in a kernel to neighboring data points in the kernel, to further reduce noise.Type: ApplicationFiled: February 5, 2016Publication date: August 11, 2016Inventors: David C. Bradley, Yao Huang Morin
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Publication number: 20160232924Abstract: An estimate of a fractional chirp rate of a signal may be computed by using multiple frequency representations of the signal. A first frequency representation may be computed using a first fractional chirp rate and a first score may be computed using the first frequency representation that indicates a match between the first fractional chirp rate and a fractional chirp rate of the signal. A second frequency representation may be computed using a second fractional chirp rate and a second score may be computed using the second frequency representation that indicates a match between the second fractional chirp rate and the fractional chirp rate of the signal. The fractional chirp rate of the signal may be estimated using the first score and the second score, for example, by selecting a fractional chirp rate corresponding to a highest score.Type: ApplicationFiled: December 15, 2015Publication date: August 11, 2016Applicant: The Intellisis CorporationInventors: David C. Bradley, Yao Huang Morin, Janis Intoy, Sean O'Connor, Nick Hilton, Massimo Mascaro
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Publication number: 20160232906Abstract: Features that may be computed from a harmonic signal include a fractional chirp rate, a pitch, and amplitudes of the harmonics. A fractional chirp rate may be estimated, for example, by computing scores corresponding to different fractional chirp rates and selecting a highest score. A first pitch may be computed from a frequency representation that is computed using the estimated fractional chirp rate, for example, by using peak-to-peak distances in the frequency distribution. A second pitch may be computed using the first pitch, and a frequency representation of the signal, for example, by using correlations of portions of the frequency representation. Amplitudes of harmonics of the signal may be determined using the estimated fractional chirp rate and second pitch. Any of the estimated fractional chirp rate, second pitch, and harmonic amplitudes may be used for further processing, such as speech recognition, speaker verification, speaker identification, or signal reconstruction.Type: ApplicationFiled: December 15, 2015Publication date: August 11, 2016Applicant: The Intellisis CorporationInventors: David C. Bradley, Yao Huang Morin, Massimo Mascaro, Janis I. Intoy, Sean O'Connor, Ellisha Marongelli, Nick Hilton
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Publication number: 20160232925Abstract: An estimate of a pitch of a signal may be computed by using peak-to-peak distances in a frequency representation of the signal. A frequency representation of the signal may be computed, peaks in the frequency representation may be identified, for example, by identifying peaks larger than a threshold value. Peak-to-peak distances may be determined using the locations in frequency of the peaks. The pitch of the signal may be estimated by, for example, estimating cumulative distribution function of the peak-to-peak distances or computing a histogram of the peak-to-peak distances.Type: ApplicationFiled: December 15, 2015Publication date: August 11, 2016Applicant: The Intellisis CorporationInventors: David C. Bradley, Yao Huang Morin, Ellisha Marongelli
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Publication number: 20160099012Abstract: An estimate of a pitch of a signal may be computed by using correlations of frequency portions of a frequency representation of the signal. An initial pitch estimate may be obtained and frequency portions of the frequency representation may be identified using multiples of the initial pitch estimate. Correlations of the frequency portions may be computed, and a score for the initial pitch estimate may be determined using the correlations. A second pitch estimate may be determined using the first score, and the process may be repeated.Type: ApplicationFiled: December 15, 2015Publication date: April 7, 2016Applicant: The Intellisis CorporationInventors: David C. Bradley, Yao Huang Morin, Sean O'Connor
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Patent number: 9208794Abstract: Voice enhancement and/or speech features extraction may be performed on noisy audio signals. An input signal may convey audio comprising a speech component superimposed on a noise component. The input signal may be segmented into discrete successive time windows including a first time window spanning a duration greater than a sampling interval of the input signal. A transform may be performed on individual time windows of the input signal to obtain corresponding sound models of the input signal in the individual time windows. A first sound model may describe a superposition of harmonics sharing a common pitch and chirp in the first time window of the input signal. Linear fits in time of the sound models over individual time windows of the input signal may be obtained. The linear fits may include a first linear fit in time of the first sound model over the first time window.Type: GrantFiled: August 7, 2013Date of Patent: December 8, 2015Assignee: The Intellisis CorporationInventors: Massimo Mascaro, David C. Bradley, Yao Huang Morin