Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes processor circuitry to generate a breathing cue to enhance speech to be synthesized from text; determine a first insertion point of the breathing cue in the text, wherein the breathing cue is identified by a first tag of a markup language; generate a prosody cue to enhance speech to be synthesized from the text; determine a second insertion point of the prosody cue in the text, wherein the prosody cue is identified by a second tag of the markup language; insert the breathing cue at the first insertion point based on the first tag and the prosody cue at the second insertion point based on the second tag; and trigger a synthesis of the speech from the text, the breathing cue, and the prosody cue.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes processor circuitry to generate a breathing cue to enhance speech to be synthesized from text; determine a first insertion point of the breathing cue in the text, wherein the breathing cue is identified by a first tag of a markup language; generate a prosody cue to enhance speech to be synthesized from the text; determine a second insertion point of the prosody cue in the text, wherein the prosody cue is identified by a second tag of the markup language; insert the breathing cue at the first insertion point based on the first tag and the prosody cue at the second insertion point based on the second tag; and trigger a synthesis of the speech from the text, the breathing cue, and the prosody cue.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes processor circuitry to generate a breathing cue to enhance speech to be synthesized from text; determine a first insertion point of the breathing cue in the text, wherein the breathing cue is identified by a first tag of a markup language; generate a prosody cue to enhance speech to be synthesized from the text; determine a second insertion point of the prosody cue in the text, wherein the prosody cue is identified by a second tag of the markup language; insert the breathing cue at the first insertion point based on the first tag and the prosody cue at the second insertion point based on the second tag; and trigger a synthesis of the speech from the text, the breathing cue, and the prosody cue.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes one or more storage devices including instructions and a processor to execute the instructions. The processor is to execute the instructions to: determine a user tone of the user input; generate a response to the user input based on the user tone; and identify a response tone associated with the user tone. The example system also includes a transmitter to communicate the response and the response tone over a network.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes one or more storage devices including instructions and a processor to execute the instructions. The processor is to execute the instructions to: generate first and second non-lexical cues to enhance speech to be synthesized from text; determine a first insertion point of the first non-lexical cue in the text; determine a second insertion point of the second non-lexical cue in the text; and insert the first non-lexical cue at the first insertion point and the second non-lexical cue at the second insertion point. The example system also includes a transmitter to communicate the text with the inserted first non-lexical cue and the inserted second non-lexical cue over a network.

Abstract: Apparatuses, methods and storage medium associated with a spoken dialogue system are disclosed herein. In embodiments, an apparatus for natural machine conversing with a user may comprise a listening component to detect a keyword that denotes start of a conversation; a dialogue engine to converse with the user during the conversation; and a controller to selectively activate or cause to be activated one of the listening component or the dialogue component, and to pass control to the activated listening component or the activated dialogue engine, based at least in part on a state of the conversation. Other embodiments may be disclosed or claimed.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes one or more storage devices including instructions and a processor to execute the instructions. The processor is to execute the instructions to: determine a user tone of the user input; generate a response to the user input based on the user tone; and identify a response tone associated with the user tone. The example system also includes a transmitter to communicate the response and the response tone over a network.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. An example system includes one or more storage devices including instructions and a processor to execute the instructions. The processor is to execute the instructions to: generate first and second non-lexical cues to enhance speech to be synthesized from text; determine a first insertion point of the first non-lexical cue in the text; determine a second insertion point of the second non-lexical cue in the text; and insert the first non-lexical cue at the first insertion point and the second non-lexical cue at the second insertion point. The example system also includes a transmitter to communicate the text with the inserted first non-lexical cue and the inserted second non-lexical cue over a network.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. Original text is analyzed to determine characteristics of the text and/or to derive or augment an intent (e.g., an intent code). Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more non-lexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech, including converting the non-lexical cues to speech output.

Abstract: Apparatuses, methods and storage medium associated with a spoken dialogue system are disclosed herein. In embodiments, an apparatus for natural machine conversing with a user may comprise a listening component to detect a keyword that denotes start of a conversation; a dialogue engine to converse with the user during the conversation; and a controller to selectively activate or cause to be activated one of the listening component or the dialogue component, and to pass control to the activated listening component or the activated dialogue engine, based at least in part on a state of the conversation. Other embodiments may be disclosed or claimed.

Abstract: Apparatuses, methods and storage medium associated with a spoken dialog system are disclosed herein. In embodiments, an apparatus for natural machine conversing with a user may comprise a listening component to detect a keyword that denotes start of a conversation; a dialog engine to converse with the user during the conversation; and a controller to selectively activate or cause to be activated one of the listening component or the dialog component, and to pass control to the activated listening component or the activated dialog engine, based at least in part on a state of the conversation. Other embodiments may be disclosed or claimed.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to communicate information to a user using a first style of communication, receive language-based communication from the user, and determine that the language-based communication indicates a desire of the user to change from the first style of communication to a second style of communication.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. Original text is analyzed to determine characteristics of the text and/or to derive or augment an intent (e.g., an intent code). Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more non-lexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech, including converting the non-lexical cues to speech output.

Abstract: Apparatuses, methods and storage medium associated with a spoken dialogue system are disclosed herein. In embodiments, an apparatus for natural machine conversing with a user may comprise a listening component to detect a keyword that denotes start of a conversation; a dialogue engine to converse with the user during the conversation; and a controller to selectively activate or cause to be activated one of the listening component or the dialogue component, and to pass control to the activated listening component or the activated dialogue engine, based at least in part on a state of the conversation. Other embodiments may be disclosed or claimed.

Abstract: The present disclosure describes providing a biometric signal as an input to a dialog system. A biometric signal processor can derive contextual biometric information about the biometric signal based on stored information and received, user-provided information. The dialog system can be used to interface with a user to receive contextual data about the user's status or activities, and can be used to interact with the user to request information and provide the contextualized biometric information.

Abstract: Various systems and methods for queueing spoken dialogue output are provided herein. A system for queueing spoken dialogue output includes a memory device including a queue, and an output manager to: determine a relation between a first utterance and a second utterance in the queue; assign a revision strategy based on the relation; and apply the revision strategy to the queue, the queue used to provide spoken dialogue output to a user.

Abstract: Systems and methods may provide non-lexical cues in synthesized speech. A system may generate response text and a response intent based on user input. Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more non-lexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech using speech units associated with the response text and the inserted response intent.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. Original text is analyzed to determine characteristics of the text and/or to derive or augment an intent (e.g., an intent code). Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more non-lexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech, including converting the non-lexical cues to speech output.

Abstract: Systems and methods for providing non-lexical cues in synthesized speech are described herein. Original text is analyzed to determine characteristics of the text and/or to derive or augment an intent (e.g., an intent code). Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more nonlexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech, including converting the non-lexical cues to speech output.

Abstract: Systems and methods are disclosed for providing non-lexical cues in synthesized speech. Original text is analyzed to determine characteristics of the text and/or to derive or augment an intent (e.g., an intent code). Non-lexical cue insertion points are determined based on the characteristics of the text and/or the intent. One or more non-lexical cues are inserted at insertion points to generate augmented text. The augmented text is synthesized into speech, including converting the non-lexical cues to speech output.