ALTERING AUDIO TO IMPROVE AUTOMATIC SPEECH RECOGNITION

    公开(公告)号:US20250124920A1

    公开(公告)日:2025-04-17

    申请号:US18938494

    申请日:2024-11-06

    Abstract: Techniques for altering audio being output by a voice-controlled device, or another device, to enable more accurate automatic speech recognition (ASR) by the voice-controlled device. For instance, a voice-controlled device may output audio within an environment using a speaker of the device. While outputting the audio, a microphone of the device may capture sound within the environment and may generate an audio signal based on the captured sound. The device may then analyze the audio signal to identify speech of a user within the signal, with the speech indicating that the user is going to provide a subsequent command to the device. Thereafter, the device may alter the output of the audio (e.g., attenuate the audio, pause the audio, switch from stereo to mono, etc.) to facilitate speech recognition of the user's subsequent command.

    System to determine user presence
    32.
    发明授权

    公开(公告)号:US12277794B1

    公开(公告)日:2025-04-15

    申请号:US17303623

    申请日:2021-06-03

    Abstract: An input device determines presence of an actual user, instead of an artifact, by using multi-wavelength reflectance spectroscopy. Light sources are operated to illuminate an object with different colors of light at different times. A detector determines, at those different times, intensity data indicative of intensity light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, and so forth.

    Hyper-rectangle network for gradient exchange

    公开(公告)号:US12277495B1

    公开(公告)日:2025-04-15

    申请号:US17301320

    申请日:2021-03-31

    Abstract: Systems and methods are disclosed to perform gradient exchange among processing nodes configured as a hyper-rectangle network of N-dimensions. Each processing node can operate as a collective parameter server node capable to perform collective compute operations. For each dimension in a sequence of dimensions, all processing nodes on a same edge can perform a scatter-reduce operation using respective collective parameter serving engines. The amount of data reduced in each dimension is an inverse of a number of processing nodes in that dimension. After the scatter-reduce operation is performed for all the dimensions, all processing nodes on the same edge can perform an all-gather operation for each dimension in a reverse sequence of dimensions.

    Mirroring network traffic of virtual networks at a service provider network

    公开(公告)号:US12273415B2

    公开(公告)日:2025-04-08

    申请号:US18161755

    申请日:2023-01-30

    Abstract: Techniques are described that enable users to configure the mirroring of network traffic sent to or received by computing resources associated with a virtual network of computing resources at a service provider network. The mirrored network traffic can be used for many different purposes including, for example, network traffic content inspection, forensic and threat analysis, network troubleshooting, data loss prevention, and the like. Users can configure such network traffic mirroring without the need to manually install and manage network capture agents or other such processes on each computing resource for which network traffic mirroring is desired. Users can cause mirrored network traffic to be stored at a storage service in the form of packet capture (or “pcap”) files, which can be used by any number of available out-of-band security and monitoring appliances including other user-specific monitoring tools and/or other services of the service provider network.

    Foldable containers having mechanical secured door indicators

    公开(公告)号:US12269644B1

    公开(公告)日:2025-04-08

    申请号:US17880210

    申请日:2022-08-03

    Abstract: Systems and methods are disclosed for containers having mechanical secured door indicators. In one embodiment, an example container may include a first container wall, a second container wall, a third container wall, and a fourth container wall configured to move from an open position to a closed positon. The fourth container wall may include a first portion coupled to the second container wall, and a second portion coupled to the third container wall, where the first portion and the second portion are coplanar when the fourth container wall is in the closed position. The foldable container may include a bottom container platform having a machine-readable code, and a pivotable arm configured to cover the machine-readable code when the fourth container wall is in the closed position, and to uncover the machine-readable code when the fourth container wall is not in the closed position.

    CACHING IN A MACHINE LEARNING MODEL HOSTING SERVICE

    公开(公告)号:US20250110784A1

    公开(公告)日:2025-04-03

    申请号:US18478185

    申请日:2023-09-29

    Abstract: Techniques for caching in a machine learning model (ML) hosting service are described. ML model usage data is aggregated from host usage data provided from each host of a first set of hosts, the ML model usage data including, for a particular ML model, a number of inference requests to the particular ML model. A priority order of hosts in a second set of hosts to service an inference request for the particular ML model is calculated. Based on the ML model usage data and the priority order, a set of ML models to load to a particular host in the second set of hosts is determined. The particular host is caused to load the set of ML models. A router is updated to direct ML model inference requests amongst the second set of hosts.

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