Abstract: Systems and methods to effectuate intents based on context during utterances of commands and permitted intents are disclosed. Exemplary implementations may: obtain audio information that represents sounds captured by a client computing platform; generate, by performing speech recognition on the audio information, a transcript; perform natural language processing on the transcript to determine sets of entities within the commands; provide the transcript and the set of entities to the trained intent model; obtain, from the trained intent model, a set of potential permitted intents from the predefined list of permitted intents that are prospective for both a first command uttered in a first context and a second command uttered in a second context; determine the different contexts during the utterances of the commands; determine, based on the different contexts, final intents for the commands from the set of potential permitted intents; execute the final intents.

Abstract: Systems and methods to recognize pronunciation variations of individual terms are disclosed.

Abstract: Systems and methods to improve automatic speech recognition of audio data are disclosed. Exemplary implementations may: process a first noisy audio data from a set of the noisy audio data, with a generator, to generate first refined audio data; process the first refined audio data and a first comprehensible audio data from a set of the comprehensible audio data, individually with a discriminator, to determine individual decision values; determine a generator update and a discriminator update based on the individual decision values; apply the generator update to the generator such that the generator is modified to improve generation of refined audio data or is not modified; and apply the discriminator update to the discriminator such that the discriminator is modified to improve subsequent determinations of the decision values or is not modified.

Abstract: A method comprises receiving a network of a plurality of nodes and a plurality of edges, each of the nodes of the plurality of nodes comprising members representative of at least one subset of initial data points, selecting a subset of the data points based on each node of the plurality of nodes, for each selected data point of the set of selected data points, determining a predetermined number of other data points that are closest in distance to that particular selected data point, grouping the selected data points into a plurality of groups based, at least in part, on the predetermined number of other data points of the set of selected data points that are closest in distance, each group of the plurality of groups including a different subset of data points, and providing a list of selected data points and the plurality of groups.

Abstract: A method comprises receiving a network of a plurality of nodes and a plurality of edges, each of the nodes of the plurality of nodes comprising members representative of at least one subset of initial data points, selecting a subset of the data points based on each node of the plurality of nodes, for each selected data point of the set of selected data points, determining a predetermined number of other data points that are closest in distance to that particular selected data point, grouping the selected data points into a plurality of groups based, at least in part, on the predetermined number of other data points of the set of selected data points that are closest in distance, each group of the plurality of groups including a different subset of data points, and providing a list of selected data points and the plurality of groups.

Abstract: A method comprises receiving a network of a plurality of nodes and a plurality of edges, each of the nodes of the plurality of nodes comprising members representative of at least one subset of initial data points, selecting a subset of the data points based on each node of the plurality of nodes, for each selected data point of the set of selected data points, determining a predetermined number of other data points that are closest in distance to that particular selected data point, grouping the selected data points into a plurality of groups based, at least in part, on the predetermined number of other data points of the set of selected data points that are closest in distance, each group of the plurality of groups including a different subset of data points, and providing a list of selected data points and the plurality of groups.

Abstract: A method comprises receiving a network of a plurality of nodes and a plurality of edges, each of the nodes of the plurality of nodes comprising members representative of at least one subset of initial data points, selecting a subset of the data points based on each node of the plurality of nodes, for each selected data point of the set of selected data points, determining a predetermined number of other data points that are closest in distance to that particular selected data point, grouping the selected data points into a plurality of groups based, at least in part, on the predetermined number of other data points of the set of selected data points that are closest in distance, each group of the plurality of groups including a different subset of data points, and providing a list of selected data points and the plurality of groups.

Abstract: A method comprises receiving a network of a plurality of nodes and a plurality of edges, each of the nodes of the plurality of nodes comprising members representative of at least one subset of initial data points, selecting a subset of the data points based on each node of the plurality of nodes, for each selected data point of the set of selected data points, determining a predetermined number of other data points that are closest in distance to that particular selected data point, grouping the selected data points into a plurality of groups based, at least in part, on the predetermined number of other data points of the set of selected data points that are closest in distance, each group of the plurality of groups including a different subset of data points, and providing a list of selected data points and the plurality of groups.