Abstract: Systems, methods, and storage media for performing actions in response to a determined spoken command of a user are disclosed.

Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.

Abstract: Systems and methods to accept speech input and edit a note upon receipt of an indication to edit are disclosed. Exemplary implementations may: effectuate presentation of a graphical user interface that includes a note, the note including note sections, the note sections including a first note section, the individual note sections including body fields; obtain user input from the client computing platform, the user input representing an indication to edit a first body field of the first note section; obtain audio information representing sound captured by an audio section of the client computing platform, the audio information including value definition information specifying one or more values to be included in the individual body fields; perform speech recognition on the audio information to obtain a first value; and populate the first body field with the first value so that the first value is included in the first body field.

Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.

Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.

Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.

Abstract: System and method for providing presence of modifications in user dictation are disclosed. Exemplary implementations may: obtain primary audio information representing sound, including speech from a recording user, captured by a client computing platform; perform speech recognition on the primary audio information to generate a textual transcript; effectuate presentation of the transcript to the recording user; receive user input from the recording user; alter, based on the received user input from the recording user, a portion of the transcript to generate an altered transcript; effectuate presentation of the altered transcript in conjunction with audio playback of at least some of the primary audio information in a reviewing interface on a client computing platform; receive user input from the reviewing user; alter, based on the received user input from the reviewing user, portions of the altered transcript to generate a reviewed transcript; and store the reviewed transcript in electronic storage.

Abstract: System and method for generating disambiguated terms in automatically generated transcripts and employing the system are disclosed. Exemplary implementations may: obtain a set of transcripts representing various speech from users; obtain indications of correlated correct and incorrect transcripts of spoken terms; use a vector generation model to generate vectors for individual instances of the correctly transcribed terms and individual instances the incorrectly transcribed terms based on text and contexts of the individual transcribed terms; and train the vector generation model to reduce spatial separation of the vectors generated for the spoken terms in the correlated correct transcripts and the incorrect transcripts.

Abstract: Systems, methods, and storage media for performing actions in response to a determined spoken command of a user are disclosed.

Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.

Abstract: Systems and methods to group terms based on context to facilitate determining intent of a command are disclosed. Exemplary implementations to train a model: obtain a set of writings within a particular knowledge domain; obtain a vector generation model that generates vectors for individual instances of the terms in the set of writings; generate a first set of vectors that represent the instances of a first term and other vectors that represent instances of the other terms of the set of writings; train the vector generation model to group the vectors of a similar context in a space of a vector space; obtain a transcript include a new term generated from user audio dictation; generate a new vector that represent the instance of the new term; obtain the space; compare the new vector with the space; utilize the new term as the first term.

Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.

Abstract: Systems and methods for recognizing and executing spoken commands using speech recognition. Exemplary implementations may: store actionable phrases; obtain audio information representing sound captured by a mobile client computing platform associated with a user; detect any spoken instances of a predetermined keyword present in the sound represented by the audio information; perform speech recognition on the sound represented by the audio information; identify an utterance of an individual actionable phrase in speech temporally adjacent to the spoken instance of the predetermined keyword that is present in the sound represented by the audio information; perform natural language processing to identify an individual command uttered temporally adjacent to the spoken instance of the predetermined keyword that is present in the sound represented by the audio information; and effectuate performance of instructions corresponding to the command.

Abstract: Systems, methods, and storage media for providing an interface for textual editing through speech are disclosed. One aspect of the disclosure may include storing a narrative textual message and presenting the narrative textual message via a client computing platform. Speech uttered by a user may be received. Speech recognition may be performed on the speech to determine words spoken by the user. The words determined from the speech may be analyzed to detect whether an editing command was spoken. The editing command may include a parameter and an edited value for the parameter. The editing command may be processed to insert the edited value for the parameter or replace an initial value to the parameter with the edited value. Information may be transmitted to the client computing platform that causes the narrative textual message to be visually presented including edits based on the editing command.

Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.

Abstract: Systems, methods, and storage media for performing actions in response to a determined spoken command of a user are disclosed.

Abstract: System and method for generating disambiguated terms in automatically generated transcriptions including instructions within a knowledge domain and employing the system are disclosed.

Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.

Abstract: Systems and methods to group terms based on context to facilitate determining intent of a command are disclosed. Exemplary implementations to train a model: obtain a set of writings within a particular knowledge domain; obtain a vector generation model that generates vectors for individual instances of the terms in the set of writings; generate a first set of vectors that represent the instances of a first term and other vectors that represent instances of the other terms of the set of writings; train the vector generation model to group the vectors of a similar context in a space of a vector space; obtain a transcript include a new term generated from user audio dictation; generate a new vector that represent the instance of the new term; obtain the space; compare the new vector with the space; utilize the new term as the first term.

Abstract: Systems and methods to accept speech input and edit a note upon receipt of an indication to edit are disclosed. Exemplary implementations may: effectuate presentation of a graphical user interface that includes a note, the note including note sections, the note sections including a first note section, the individual note sections including body fields; obtain user input from the client computing platform, the user input representing an indication to edit a first body field of the first note section; obtain audio information representing sound captured by an audio section of the client computing platform, the audio information including value definition information specifying one or more values to be included in the individual body fields; perform speech recognition on the audio information to obtain a first value; and populate the first body field with the first value so that the first value is included in the first body field.