Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.

Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.

Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.

Abstract: Smart speaker mechanisms are provided for processing audio sample data captured by the audio capture device is provided. The mechanisms capture one or more audio samples from a monitored environment and store the captured one or more audio samples in the audio sample buffer. The one or more captured audio samples are analyzed to determine whether the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device. The potential wake sound is a variable sound determined to not be a normal ambient sound of the monitored environment. In response to determining that the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device, the mechanisms initiate performance of the responsive action by the smart speaker device.

Abstract: A computer-implemented method includes detecting initiation of submission of content on a forum. Using a computer processor, an expertise associated with the content is determined. Using the computer processor, challenge data is determined based at least in part on the expertise. Using the computer processor, expected response data corresponding to the challenge data is determined. The challenge data is presented. An entered response is received in reply to the challenge data. The content is allowed to be posted on the forum based at least in part on comparing the entered response data to the expected response data.

Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.

Abstract: Smart speaker mechanisms are provided for processing audio sample data captured by the audio capture device is provided. The mechanisms capture one or more audio samples from a monitored environment and store the captured one or more audio samples in the audio sample buffer. The one or more captured audio samples are analyzed to determine whether the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device. The potential wake sound is a variable sound determined to not be a normal ambient sound of the monitored environment. In response to determining that the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device, the mechanisms initiate performance of the responsive action by the smart speaker device.

Abstract: A computer-implemented method includes detecting initiation of submission of content on a forum. Using a computer processor, an expertise associated with the content is determined. Using the computer processor, challenge data is determined based at least in part on the expertise. Using the computer processor, expected response data corresponding to the challenge data is determined. The challenge data is presented. An entered response is received in reply to the challenge data. The content is allowed to be posted on the forum based at least in part on comparing the entered response data to the expected response data.

Abstract: Methods and arrangements for managing one or more electronic messages. An electronic message is obtained. A numerical metric is calculated corresponding to the message, the numerical metric comprising at least one of: a confidence level relating to whether the message has been addressed; and a topic-based distance from a reference. The message is altered, based on the numerical metric, and the altering comprises altering at least one of: an attribute associated with an appearance of the message and a position of the message. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for managing one or more electronic messages. An electronic message is obtained. A numerical metric is calculated corresponding to the message, the numerical metric comprising at least one of: a confidence level relating to whether the message has been addressed; and a topic-based distance from a reference. The message is altered, based on the numerical metric, and the altering comprises altering at least one of: an attribute associated with an appearance of the message and a position of the message. Other variants and embodiments are broadly contemplated herein.

Abstract: The present invention provides techniques for transmitting at least one signal through an element of a classification system. One or more input signals are received at the element. One or more functional components are extracted from the one or more input signals, and one or more membership components are extracted from the one or more input signals. An output signal is generated from the element comprising a functional component and a membership component that correspond to one or more functional components and membership components from one or more input signals.

Abstract: A system and method for a network to deconvolve mixtures of inputs that have been previously learned. In addition, the network is also able to segment the components of each input object that most contribute to its classification. The network consists of oscillatory units that can comprise amplitude and phase, and that can synchronize their dynamics, so that deconvolution is determined by the amplitude of an output layer, and segmentation by phase similarity between input and output layer units. Moreover, segmentation can be achieved even when there is considerable superposition of the inputs.

Abstract: The present invention provides techniques for transmitting at least one signal through an element of a classification system. One or more input signals are received at the element. One or more functional components are extracted from the one or more input signals, and one or more membership components are extracted from the one or more input signals. An output signal is generated from the element comprising a functional component and a membership component that correspond to one or more functional components and membership components from one or more input signals.

Abstract: The present invention provides techniques of recording signals. In one aspect of the invention, a method of recording a signal comprises the following steps. One or more errors are selectively introduced during synthesis of a polymer in response to the signal. The one or more occurrences of the one or more errors in the synthesized polymer are recorded. The synthesis of the polymer may comprise a polymer synthetase that can selectively introduce the one or more errors in response to the signal. A method for analyzing signals is also provided.