公开(公告)号：US20180365950A1

公开(公告)日：2018-12-20

申请号：US16050612

申请日：2018-07-31

Applicant: Google LLC

Inventor： Rajeev Conrad Nongpiur ,  Michael Dixon

IPC: G08B13/16 ,  G08B25/00 ,  G08B13/08 ,  G08B29/18

CPC classification number: G08B13/1672 ,  G08B13/08 ,  G08B25/008 ,  G08B29/188

Abstract: Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.

公开(公告)号：US20180279043A1

公开(公告)日：2018-09-27

申请号：US15996070

申请日：2018-06-01

Applicant: Google LLC

Inventor： Chanwoo Kim ,  Rajeev Conrad Nongpiur ,  Ananya Misra

IPC: H04R3/00 ,  H04R29/00 ,  H04R5/027

CPC classification number: H04R3/005 ,  H04R5/027 ,  H04R29/005 ,  H04R29/006 ,  H04R2201/401 ,  H04R2430/20

Abstract: A method for auralizing a multi-microphone device. Path information for one or more sound paths using dimensions and room reflection coefficients of a simulated room for one of a plurality of microphones included in a multi-microphone device is determined. An array-related transfer functions (ARTFs) for the one of the plurality of microphones is retrieved. The auralized impulse response for the one of the plurality of microphones is generated based at least on the retrieved ARTFs and the determined path information.

公开(公告)号：US10074383B2

公开(公告)日：2018-09-11

申请号：US15797991

申请日：2017-10-30

Applicant: Google LLC

Inventor： Rajeev Conrad Nongpiur ,  Michael Dixon

IPC: H04R29/00 ,  G10L25/51 ,  G10L25/18 ,  G08B13/16

CPC classification number: G10L25/51 ,  G08B13/1672 ,  G10L25/18

Abstract: A system and method for the use of sensors and processors of existing, distributed systems, operating individually or in cooperation with other systems, networks or cloud-based services to enhance the detection and classification of sound events in an environment (e.g., a home), while having low computational complexity. The system and method provides functions where the most relevant features that help in discriminating sounds are extracted from an audio signal and then classified depending on whether the extracted features correspond to a sound event that should result in a communication to a user. Threshold values and other variables can be determined by training on audio signals of known sounds in defined environments, and implemented to distinguish human and pet sounds from other sounds, and compensate for variations in the magnitude of the audio signal, different sizes and reverberation characteristics of the environment, and variations in microphone responses.

公开(公告)号：US20180239967A1

公开(公告)日：2018-08-23

申请号：US15958274

申请日：2018-04-20

Applicant: Google LLC

Inventor： Yoky Matsuoka ,  Rajeev Conrad Nongpiur ,  Michael Dixon

IPC: G06K9/00 ,  G08B21/02 ,  G10L25/51 ,  H04R3/00

CPC classification number: G06K9/00771 ,  G06K9/00979 ,  G06K9/46 ,  G06K9/6267 ,  G08B1/08 ,  G08B21/0208 ,  G10L25/27 ,  G10L25/51 ,  G10L25/72 ,  G10L25/78 ,  H04R3/00 ,  H04R2410/05

Abstract: This application discloses a method implemented by an electronic device to detect a signature event (e.g., a baby cry event) associated with an audio feature (e.g., baby sound). The electronic device obtains a classifier model from a remote server. The classifier model is determined according to predetermined capabilities of the electronic device and ambient sound characteristics of the electronic device, and distinguishes the audio feature from a plurality of alternative features and ambient noises. When the electronic device obtains audio data, it splits the audio data to a plurality of sound components each associated with a respective frequency or frequency band and including a series of time windows. The electronic device further extracts a feature vector from the sound components, classifies the extracted feature vector to obtain a probability value according to the classifier model, and detects the signature event based on the probability value.

公开(公告)号：US20180124510A1

公开(公告)日：2018-05-03

申请号：US15844847

申请日：2017-12-18

Applicant: Google LLC

Inventor： Rajeev Conrad Nongpiur

IPC: H04R3/00 ,  H04R1/22 ,  H04R1/02 ,  H04R1/32

CPC classification number: H04R3/005 ,  H04R1/02 ,  H04R1/04 ,  H04R1/222 ,  H04R1/326 ,  H04R1/342 ,  H04R1/38 ,  H04R1/406 ,  H04R5/027 ,  H04R2201/401 ,  H04R2201/403 ,  H04R2430/20 ,  H04R2499/11

Abstract: Methods and apparatus relating to microphone devices and signal processing techniques are provided. In an example, a microphone device can detect sound, as well as enhance an ability to perceive at least a general direction from which the sound arrives at the microphone device. In an example, a case of the microphone device has an external surface which at least partially defines funnel-shaped surfaces. Each funnel-shaped surface is configured to direct the sound to a respective microphone diaphragm to produce an auralized multi-microphone output. The funnel-shaped surfaces are configured to cause direction-dependent variations in spectral notches and frequency response of the sound as received by the microphone diaphragms. A neural network can device-shape the auralized multi-microphone output to create a binaural output. The binaural output can be auralized with respect to a human listener.