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1.发明申请公开(公告)号：US20210125607A1
公开(公告)日：2021-04-29
申请号：US17143472
申请日：2021-01-07
Applicant: Google Technology Holdings LLC
Inventor： Plamen A. Ivanov , Kevin J. Bastyr , Joel A. Clark , Mark A. Jasiuk , Tenkasi V. Ramabadran , Jincheng Wu
IPC: G10L15/20 , G10L15/28 , G10L21/0364
Abstract: A disclosed method includes monitoring an audio signal energy level while having a noise suppressor deactivated to conserve battery power, buffering the audio signal in response to a detected increase in the audio energy level, activating and running a voice activity detector on the audio signal in response to the detected increase in the audio energy level and activating and running a noise estimator in response to voice being detected in the audio signal by the voice activity detector. The method may further include activating and running the noise suppressor only if the noise estimator determines that noise suppression is required. The method activates and runs a noise type classifier to determine the noise type based on information received from the noise estimator and selects a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.
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2.发明授权公开(公告)号：US10896685B2
公开(公告)日：2021-01-19
申请号：US15684013
申请日：2017-08-23
Applicant: Google Technology Holdings LLC
Inventor： Mark A. Jasiuk , Tenkasi V. Ramabadran
IPC: H04B15/00 , G10L21/0216 , G10L15/20 , G10L21/0208 , G10L21/00
Abstract: An electronic device measures noise variability of background noise present in a sampled audio signal, and determines whether the measured noise variability is higher than a high threshold value or lower than a low threshold value. If the noise variability is determined to be higher than the high threshold value, the device categorizes the background noise as having a high degree of variability. If the noise variability is determined to be lower than the low threshold value, the device categorizes the background noise as having a low degree of variability. The high and low threshold values are between a high boundary point and a low boundary point. The high boundary point is based on an analysis of files including noises that exhibit a high degree of variability, and the low boundary point is based on an analysis of files including noises that exhibit a low degree of variability.
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公开(公告)号：US10510337B2
公开(公告)日：2019-12-17
申请号：US15949145
申请日：2018-04-10
Applicant: Google Technology Holdings LLC
Inventor： Michael E. Gunn , Boris Bekkerman , Mark A. Jasiuk , Pratik M. Kamdar , Jeffrey A. Sierawski
Abstract: A method on a mobile device for voice recognition training is described. A voice training mode is entered. A voice training sample for a user of the mobile device is recorded. The voice training mode is interrupted to enter a noise indicator mode based on a sample background noise level for the voice training sample and a sample background noise type for the voice training sample. The voice training mode is returned to from the noise indicator mode when the user provides a continuation input that indicates a current background noise level meets an indicator threshold value.
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公开(公告)号：US20170270914A1
公开(公告)日：2017-09-21
申请号：US15613595
申请日：2017-06-05
Applicant: Google Technology Holdings LLC
Inventor： Joel A. Clark , Tenkasi V. Ramabadran , Mark A. Jasiuk
IPC: G10L15/18 , G10L25/84 , G10L21/0264
CPC classification number: G10L15/1807 , G10L15/063 , G10L15/20 , G10L21/0264 , G10L25/84 , G10L2015/088
Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.
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公开(公告)号：US11676581B2
公开(公告)日：2023-06-13
申请号：US16995673
申请日：2020-08-17
Applicant: Google Technology Holdings LLC
Inventor： Joel A. Clark , Tenkasi V. Ramabadran , Mark A. Jasiuk
CPC classification number: G10L15/1807 , G10L15/063 , G10L21/0264 , G10L25/84 , G10L15/20 , G10L2015/088
Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.
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Patent Agency Ranking
6.发明授权公开(公告)号：US10909977B2
公开(公告)日：2021-02-02
申请号：US15977397
申请日：2018-05-11
Applicant: Google Technology Holdings LLC
Inventor： Plamen A. Ivanov , Kevin J. Bastyr , Joel A. Clark , Mark A. Jasiuk , Tenkasi V. Ramabadran , Jincheng Wu
IPC: G10L15/20 , G10L21/0364 , G10L21/0216 , G10L15/28 , G10L21/02 , G10L25/21
Abstract: A disclosed method includes monitoring an audio signal energy level while having a plurality of signal processing components deactivated and activating at least one signal processing component in response to a detected change in the audio signal energy level. The method may include activating and running a voice activity detector on the audio signal in response to the detected change where the voice activity detector is the at least one signal processing component. The method may further include activating and running the noise suppressor only if a noise estimator determines that noise suppression is required. The method may activate and runs a noise type classifier to determine the noise type based on information received from the noise estimator and may select a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.
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公开(公告)号：US20200380961A1
公开(公告)日：2020-12-03
申请号：US16995673
申请日：2020-08-17
Applicant: Google Technology Holdings LLC
Inventor： Joel A. Clark , Tenkasi V. Ramabadran , Mark A. Jasiuk
IPC: G10L15/18 , G10L15/06 , G10L21/0264 , G10L25/84
Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.
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公开(公告)号：US10170105B2
公开(公告)日：2019-01-01
申请号：US15384142
申请日：2016-12-19
Applicant: Google Technology Holdings LLC
Inventor： Joel A. Clark , Tenkasi V. Ramabadran , Mark A. Jasiuk
Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.
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公开(公告)号：US10163439B2
公开(公告)日：2018-12-25
申请号：US15609342
申请日：2017-05-31
Applicant: Google Technology Holdings LLC
Inventor： Joel A. Clark , Tenkasi V. Ramabadran , Mark A. Jasiuk
Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.
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10.发明授权公开(公告)号：US11735175B2
公开(公告)日：2023-08-22
申请号：US17143472
申请日：2021-01-07
Applicant: Google Technology Holdings LLC
Inventor： Plamen A. Ivanov , Kevin J. Bastyr , Joel A. Clark , Mark A. Jasiuk , Tenkasi V. Ramabadran , Jincheng Wu
IPC: G10L15/20 , G10L15/28 , G10L21/0364 , G10L21/02 , G10L25/78 , G10L21/0272 , G10L15/22 , G10L25/84 , G10L21/0216 , G10L25/21
CPC classification number: G10L15/20 , G10L15/22 , G10L15/28 , G10L21/02 , G10L21/0272 , G10L21/0364 , G10L25/78 , G10L25/84 , G10L21/0216 , G10L25/21 , G10L2021/02161 , G10L2025/783
Abstract: A disclosed method includes monitoring an audio signal energy level while having a noise suppressor deactivated to conserve battery power, buffering the audio signal in response to a detected increase in the audio energy level, activating and running a voice activity detector on the audio signal in response to the detected increase in the audio energy level and activating and running a noise estimator in response to voice being detected in the audio signal by the voice activity detector. The method may further include activating and running the noise suppressor only if the noise estimator determines that noise suppression is required. The method activates and runs a noise type classifier to determine the noise type based on information received from the noise estimator and selects a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.
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