Amazon Technologies, Inc.

Other

Raytheon Company

Joseph White

Venkata Snehith Cherukuri

Vinodth Kumar Mohanam

Rami Faris Habal

Deepak Uttam Shah

Ravi Kiran Rachakonda

Maziyar Khorasani

Menghan Li

Lalithkumar Rajendran

Christopher B Koller

Gary S Smith

Ragini Rajendra Prasad

Henry Michael D Souza

Rick Carragher

Michael J Stahlberg

This disclosure describes, in part, techniques for determining device groupings, or clusters, for multiple voice-enabled devices. The device clusters may be determined based on metadata data for audio signals (or audio data) generated by each of the multiple voice-enabled devices. For example, a remote system may analyze timestamp data for the audio signals received from the devices, and determine that the devices detected the same voice command of a user based on the timestamp data indicating that the audio signals were received within a threshold period of time from each other. Additionally, the remote system may analyze other metadata of the audio data, such as signal-to-noise (SNR) values, and determine that the SNR values are within a threshold value. The remote system may determine device clusters for the voice-enabled devices of a user based on these, and potentially other, types of metadata of the audio signals.

Determining device groups

This disclosure describes, in part, context-based device arbitration techniques to select a voice-enabled device from multiple voice-enabled devices to provide a response to a command included in a speech utterance of a user. In some examples, the context-driven arbitration techniques may include determining a ranked list of voice-enabled devices that are ranked based on audio signal metric values for audio signals generated by each voice-enabled device, and iteratively moving through the list to determine, based on device states of the voice-enabled devices, whether one of the voice-enabled devices can perform an action responsive to the command. If the voice-enabled devices that detected the speech utterance are unable to perform the action responsive to the command, all other voice-enabled devices associated with an account may be analyzed to determine whether one of the other voice-enabled devices can perform the action responsive to the command in the speech utterance.

Context-based device arbitration

Described herein is a system for device arbitration using acoustic characteristics of a physical space, such as a user's household. The system generates a matrix of inter-device attenuation factors. The inter-device attenuation factors are determined using the attenuation experienced by a first device versus the attenuation experienced by a second device. Once the matrix is generated, an attenuation vector representing the attenuation corresponding to an input audio signal is determined and compared to the matrix. Based on the comparison, the system selects a device for further processing.

Device arbitration using acoustic characteristics

Provided is a method for scheduling activities. The method includes partitioning tasks provided for scheduling. The partitioning is accomplished by receiving at least one task including at least one data type. The data type is reviewed to determine at least one scheduling criteria and the task is routed to a queue based on the determined scheduling criteria. Each queue also has at least one queue characteristic. The method also includes scheduling the partitioned tasks. The scheduling is accomplished by retrieving the at least one task from the queue in response to a trigger. The retrieved task is routed to at least one scheduler. In a first instance the routing is based on the queue characteristic. In a second instance the routing is based on at least one scheduler characteristic. A scheduling system for performing this method is also provided.

Task scheduling method and system

Provided is a problem solving system. More specifically, the problem solving system provides an interface operable to receive user supplied input data, the input data having at least one user defined characteristic. The system provides an algorithm pool having a plurality of pre-defined algorithms, each algorithm having at least one associated algorithm characteristic. The system also provides a data source pool having at least one data source, each data source having at least one data characteristic. An algorithm selector is in communication with the interface, algorithm pool and data source pool. The algorithm selector operable to; receive the input data and review the at least one user defined characteristic; select at least one algorithm from the algorithm pool based on the at least one user defined characteristic and selected algorithm's algorithm characteristic; select at least one data source from the data source pool based on the at least one user defined characteristic indicating a need for additional data and the selected data source's data characteristic; and bundle the input data, the selected algorithm and data source as a job operation for execution by a job operation subsystem to obtain a result, and return the result to a designated party. An associated method of solving a problem with such a system is also provided.

Problem solving system and method

A tapered mounting for cutters which automatically provides accurate positioning of a cutter with respect to a holder. More particularly, the tapered mounting provides a concentric and perpendicular mounting of the cutter with respect to a centerline of rotation of the holder. The tapered cutter mounting in part provided by a frustoconically shaped shank, which is provided with one or more keys. The tapered mounting is further in part provided by a conically shaped bore in the cutter, the conically shaped bore having keyways for accepting the keys. The conically shaped bore surface is dimensioned to firmly engage the frustoconically shaped shank surface so that the cutter is precisely aligned concentrically and perpendicularly with respect to the centerline of rotation of the holder. The cutter hub is held fast with respect to the holder by operation of a hold down screw or bolt which threadably engages with respect to the holder.

Tapered cutter mounting

A milling machine cutter tool structured and oriented to perform complex three dimensional contour machining operations and provides for the cutting edges of the cutter to engage the workpiece in the same direction as the feed direction, thereby resulting in maximal cutting efficiency. The cutting tool is composed of a sleeve rotatably mounted to the milling machine, a quill axially movable in the sleeve, a position drive for selectively moving the quill relative to the sleeve, a drive shaft rotatably supported in the quill and connected at a rear end thereof to a cutter drive, a cutter head connected to the opposite forward end of the quill, a worm gear set mounted in the cutter head connecting gearably to the drive shaft, a cutter shaft mounted in the cutter head transversely in relation to the drive shaft and gearably connected to the worm gear set, and a side cutter connected to the cutter shaft, the side cutter supporting teeth extending forwardly of the cutting head. In one preferred embodiment, the drive shaft is powered by a self-contained drive motor connected to the quill. In a second preferred embodiment, the drive shaft is powered by the spindle drive system of the milling machine.

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San Francisco, CA, United States of America

Joseph White