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公开(公告)号：US12072413B1
公开(公告)日：2024-08-27
申请号：US17218274
申请日：2021-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Spencer Russell , Krishna Kamath Koteshwara , Tarun Pruthi , Ali Abdollahzadeh Milani , Trausti Thor Kristjansson , Anran Wang
CPC classification number: G01S15/101 , G01N29/46 , G01N29/48 , H04R3/04 , H04R2430/23
Abstract: A system that performs wall detection and localization to determine a position of a device relative to acoustically reflective surfaces. The device emits an audible sound including a frequency modulated signal and captures reflections of the audible sound. The frequency modulated signal enables the device to determine an amplitude of the reflections at different time-of-arrivals, which corresponds to a direction of the reflection. The device then performs beamforming to generate a 2D intensity map that represents an intensity of the reflections at each spatial location around the device. The device detects wall(s) in proximity to the device by identifying peak intensities represented in the 2D intensity map. In some examples, instead of performing beamforming, the device can perform directional wall detection by physically rotating the device and emitting the audible sound in multiple directions. The device may perform ultrasonic wall detection using ultrasonic sound frequencies.
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公开(公告)号：US10795018B1
公开(公告)日：2020-10-06
申请号：US16116364
申请日：2018-08-29
Applicant: Amazon Technologies, Inc.
Inventor： Krishna Kamath Koteshwara
Abstract: This disclosure describes presence-detection devices that detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person. In addition to detecting movement, and thus presence of a person, the presence-detection devices may include a microphone array to perform techniques for identifying a direction of movement of the person, and also to perform techniques for identifying a number of people that are in the room. Additionally, the techniques described herein include processing audio signals in such a way to allow for the use of on-board loudspeakers to transmit ultrasonic signals at out-of-band frequencies.
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公开(公告)号：US11982737B1
公开(公告)日：2024-05-14
申请号：US17363302
申请日：2021-06-30
Applicant: Amazon Technologies, Inc.
Inventor： Yuzhou Liu , Krishna Kamath Koteshwara , Rui Wang , Harsha Inna Kedage Rao , Tarun Pruthi , Trausti Thor Kristjansson
Abstract: Techniques for presence-detection devices to vary presence-detection sensitivity to detect different types of movements by objects, such as major movements and minor movements, using ultrasonic signals. The devices detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person relative to the presence-detection devices. The presence-detection devices may control the presence-detection sensitivity in order to detect major movements, such as a user walking in a room, as well as objects minor movements, such as a user typing at a computer. By adjusting the presence-detection sensitivity, the devices are able to improve the overall accuracy of detecting the presence of users in an environment.
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公开(公告)号：US11614529B1
公开(公告)日：2023-03-28
申请号：US17206456
申请日：2021-03-19
Applicant: Amazon Technologies, Inc.
Inventor： Harsha Inna Kedage Rao , Maziyar Khorasani , Tarun Pruthi , Krishna Kamath Koteshwara
Abstract: Techniques for presence-detection devices to emission levels of ultrasonic signals that are used to detect movement in an environment. The presence-detection devices may detect movement of a person by emitting the ultrasonic signals into an environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person relative to the presence-detection devices. However, presence-detection devices that continuously emit ultrasonic signals may experience reduced battery life, increased likelihood of overheating, etc. To reduce these negative effects, the presence-detection devices may reduce the emission levels of ultrasonic signals. For instance, once motion is detected, the presence-detection devices may, for a period of time, stop emitting ultrasonic signals or reduce the power level at which the ultrasonic signals are emitted. Accordingly, the presence-detection devices can reduce emission levels of ultrasonic signals while still detecting motion.
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公开(公告)号：US11564036B1
公开(公告)日：2023-01-24
申请号：US17076584
申请日：2020-10-21
Applicant: Amazon Technologies, Inc.
Inventor： Krishna Kamath Koteshwara , Zhen Sun , Spencer Russell , Tarun Pruthi , Yuzhou Liu , Wan-Chieh Pai
IPC: H04R3/04 , H04R5/04 , G10L21/0232 , G01S15/04 , H04R5/027 , G10L21/0208
Abstract: Techniques for presence-detection devices to detect movement of a person in an environment by emitting ultrasonic signals using a loudspeaker that is concurrently outputting audible sound. To detect movement by the person, the devices characterize the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person. However, when a loudspeaker plays audible sound while emitting the ultrasonic signal, audio signals generated by microphones of the devices include distortions caused by the loudspeaker. These distortions can be interpreted by the presence-detection devices as indicating movement of a person when there is no movement, or as indicating lack of movement when a user is moving. The techniques include processing audio signals to remove distortions to more accurately identify changes in the frequency of the reflections of the ultrasonic signals caused by the movement of the person.
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Patent Agency Ranking
公开(公告)号：US11921187B1
公开(公告)日：2024-03-05
申请号：US17232649
申请日：2021-04-16
Applicant: Amazon Technologies, Inc.
Inventor： Spencer Russell , Krishna Kamath Koteshwara , Tarun Pruthi , Trausti Thor Kristjansson , Anran Wang
CPC classification number: G01S13/56 , G01S7/4056 , G01S13/581 , G01S13/584 , G01S13/84
Abstract: Techniques for monitoring devices to use ultrasonic signals to detect and track the locations of moving objects in an environment. To determine distance information, the monitoring devices emit a frequency-modulated continuous wave (FMCW) signal at an ultrasound frequency range. Reflections of the FMCW ultrasonic signal are used to generate time-of-arrival (TOA) profiles that indicate distances between the monitoring device and objects in the environment. The reflections can be processed to suppress undesirable interferences, such as reflections off non-mobile objects in the environment (e.g., walls, furniture, etc.), vibrations off the floorings or the ceilings, etc. After processing the reflections, a heatmap can be used to plot the intensity of the reflections for the different TOAs of the reflections, and depict the movement of the user over time. Finally, a Kalman filter is used to smooth the peaks in the intensity values on the plot, and determine the trajectory of the human.
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公开(公告)号：US09947338B1
公开(公告)日：2018-04-17
申请号：US15708772
申请日：2017-09-19
Applicant: Amazon Technologies, Inc.
Inventor： Krishna Kamath Koteshwara , Trausti Thor Kristjansson
IPC: G10L21/0232 , H04S3/00 , H04S7/00 , H04R5/02 , G10L21/0208
CPC classification number: G10L21/0232 , G10L21/0208 , G10L2021/02082 , H04R5/02 , H04S3/008 , H04S7/301
Abstract: A device that determines an echo latency estimate by combining reference signals. The device may determine the echo latency corresponding to an amount of time between reference signals being sent to transmitters and input data corresponding to the reference signals being received. The device may generate a combined reference signal by adding (or filtering) each of the reference signals. The device may then compare the combined reference signal to input audio data received from a microphone or receiving device. The device may detect a highest peak, determine if there are any earlier significant peaks and estimate the echo latency based on the earliest significant peak. This technique is not limited to audio data and may be used for signal matching using any system that includes multiple transmitters and receivers (e.g., Radar, Sonar, etc.).
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8.发明授权On-the-fly speech learning and computer model generation using audio-visual synchronization 有权使用视听同步的即时语音学习和计算机模型生成公开(公告)号：US09548048B1
公开(公告)日：2017-01-17
申请号：US14745248
申请日：2015-06-19
Applicant: Amazon Technologies, Inc.
Inventor： Mashhour Solh , Krishna Kamath Koteshwara
CPC classification number: G10L15/063 , G06K9/00261 , G06K9/00315 , G10L15/24 , G10L15/25
Abstract: A speech recognition computer system uses video input as well as audio input of known speech when the speech recognition computer system is being trained to recognize unknown speech. The video of the speaker can be captured using multiple cameras, from multiple angles. The audio can be captured using multiple microphones. The video and audio can be sampled so that timing of events in the video and audio can be determined from the content independent of an audio or video capture device's clock. Video features, such as a speaker's moving body parts, can be extracted from the video and random sampled, to be used in a speech modeling process. Audio is modeled at the phoneme level, which provides word mapping with minor additional effort. The trained speech recognition computer system can then be used to recognize speech text from video/audio of unknown speech.
Abstract translation: 当语音识别计算机系统被训练以识别未知语音时，语音识别计算机系统使用视频输入以及已知语音的音频输入。 扬声器的视频可以从多个角度使用多个摄像头捕获。 可以使用多个麦克风捕获音频。 可以对视频和音频进行采样，从而可以从独立于音频或视频捕获设备的时钟的内容确定视频和音频中事件的定时。 可以从视频中提取诸如扬声器的移动体部分的视频特征，并随机采样，以用于语音建模过程。 音频是在音素级建模的，它提供了单词映射和较小的额外努力。 训练有素的语音识别计算机系统然后可用于识别来自未知语音的视频/音频的语音文本。
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公开(公告)号：US11513216B1
公开(公告)日：2022-11-29
申请号：US17171455
申请日：2021-02-09
Applicant: Amazon Technologies, Inc.
Inventor： Krishna Kamath Koteshwara , Rui Wang , Tarun Pruthi
Abstract: Techniques for calibrating presence-detection devices to account for various factors that can affect the presence-detection devices' ability to detect movement. Presence-detection devices may detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person. However, factors such as environmental acoustic conditions, noise sources, etc., may affect the ability of the presence-detection devices to detect movement. To calibrate for these factors, the presence-detection devices may use a loudspeaker to emit an ultrasonic sweep signal that spans different frequencies in an ultrasonic frequency range. The presence-detection devices may generate audio data using a microphone that represents the ultrasonic sweep signal, and analyze that audio data to determine an optimal frequency range and/or transmission power for subsequent ultrasonic signal transmissions.
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公开(公告)号：US10937418B1
公开(公告)日：2021-03-02
申请号：US16240294
申请日：2019-01-04
Applicant: Amazon Technologies, Inc.
Inventor： Navin Chatlani , Krishna Kamath Koteshwara , Trausti Thor Kristjansson , Inseok Heo , Robert Ayrapetian
IPC: G10L15/20 , G10L21/0232 , G10L15/22 , G10L21/0208
Abstract: A system configured to improve echo cancellation for nonlinear systems. The system generate reference audio data by isolating portions of microphone audio data that correspond to playback audio data. For example, the system may determine a correlation between the playback audio data and the microphone audio data in individual time-frequency bands in a frequency domain. In some examples, the system may substitute microphone audio data associated with output audio for the playback audio data. The system may generate the reference audio data based on portions of the microphone audio data that have a strong correlation with the playback audio data. The system may generate the reference audio data by selecting these portions of the microphone audio data or by performing beamforming. This results in precise time alignment between the reference audio data and the microphone audio data, improving performance of the echo cancellation.
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