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AIM · composite

Affective Multimodal Conversation

MMC-AMC-V2.5

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Submissions for this AIM must match this definition: the same ports, API profile and internal wiring.

Description

Affective Multimodal Conversation: speech-only affective dialogue. Automatic Speech Recognition recognises the speech; Natural Language Understanding produces the Text Descriptors, the (refined) NLU Text and the Text Personal Status; Personal Status Extraction reads the Speech Personal Status from the Speech Object and multiplexes it with the Text Personal Status into the entity's Personal Status; Entity Dialogue Processing produces the machine's response Text and Personal Status, aware of both the meaning and the feeling; Response and Scene Rendering renders the Portable Avatar. The Summary of the conversation is internal to Entity Dialogue Processing. Acquisition and delivery are the User Agent, not sub-AIMs.

Inputs and outputs 6 in · 2 out

Inputs

  • InputSpeech optional OSD-BSO-V1.5
  • InputFace optional OSD-BVO-V1.5
  • InputText optional OSD-BTO-V1.5
  • AvatarModel OSD-B3O-V1.5
  • MachineID optional string
  • Summary optional MMC-SUM-V2.5

Outputs

  • PortableAvatar PAF-PAV-V1.6
  • EditedSummary MMC-SUM-V2.5

Built from 5 AIMs

AIMCodeInstances
Automatic Speech Recognition MMC-ASR-V2.51
Natural Language Understanding MMC-NLU-V2.51
Personal Status Extraction MMC-PSE-V2.51
Entity Dialogue Processing MMC-EDP-V2.51
Response and Scene Rendering PAF-RSR-V1.61

Documentation

Implementations 0

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