1     Functions of Videoconference Client Transmitter

2     Reference Model of Videoconference Client Transmitter

3     Input and Output Data of Videoconference Client Transmitter

4     Functions of Videoconference Client Transmitter’s AI Modules

5     I/O Data of Videoconference Client Transmitter’s AI Modules

6    AIW, AIMs and JSON Metadata of Videoconference Client Transmitter 

1      Functions of Client Transmitter

The function of a Client Transmitter is to:

  1. Receive from a Participant:
    • Input Audio from the microphone.
    • Input Visual from the camera.
    • Participant’s Avatar Model.
    • Participant’s language preferences (e.g., EN-US, IT-CH).
  2. Send to the Server:
    • Speech Object (for Authentication).
    • Face Object (for Authentication).
    • Input Portable Avatars containing:
      • Language preferences (at the start).
      • Avatar Model (at the start).
      • Speech.
      • Avatar Descriptors.

2      Reference Model of Client Transmitter

Figure 1 gives the Reference Model of Client Transmitter AIW. Red text refers to data sent at meeting start.

Figure 1 – Reference Model of Avatar

At the start, each participant sends to the Avatar Videoconference Server:

  1. Language preferences
  2. Avatar Model.
  3. Speech Object (for Authentication).
  4. Face Object (for Authentication).

During the videoconference the following AIMs of the Client Transmitter produce:

AIM Data produced
Audio-Visual Scene Description Speech Objects, Face Descriptors, Body Descriptors, and Audio-Visual Scene Geometry
Automatic Speech Recognition Recognised Text
Input Face Description Face Descriptors
Input Body Description Body Descriptors
Natural Language Understanding Meaning
Personal Status Extraction Personal Status
Portable Avatar Description Avatar Descriptors

Videoconference Client Transmitters send Portable Avatars to Avatar Videoconference Server that the Server processes and re-distributes to Client Receivers.

3      Input and Output Data of Client Transmitter

Table 1 gives the input and output data of the Client Transmitter AIW:

Table 1 – Input and output data of Client Transmitter AIW

Input Description
Input Text Chat text used by a human to communicate with Virtual Meeting Secretary or other participants
Language Preference The language participant wishes to speak and hear.
Input Audio Audio of Speech of participants in a meeting room.
Input Visual Video of participants in a meeting room.
Avatar Model The avatar model selected by the participant.
Output Description
Speech Object An utterance of a Participant used by Server for authentication.
Input Portable Avatar Portable Avatar produced by Client Transmitter.
Face Object Participant’s face used by Server for authentication.

4      Functions of Client Transmitter’s AI Modules

Table 2 gives the functions of AI Modules of the Client Transmitter AIW.

Table 2 – AI Modules of Client Transmitter AIW

AIM Function
Audio-Visual Scene Description 1.     Receives Input Audio and Input Visual.
2.     Provides Input Speech, Speech Object, Participant ID, Face Descriptors, Body Descriptors, Face Object.
Automatic Speech Recognition 1.     Receives Input Speech and Participant ID.
2.     Provides Recognised Text and Participant ID.
Natural Language Understanding 1.     Receives Recognised Text, Participant ID.
2.     Provides the Meaning of the Recognised Text.
Personal Status Extraction 1.     Receives Meaning, Speech, Face Descriptors, Body Descriptors, Participant ID.
2.     Provides the Participant’s Personal Status, Participant ID.
Portable Avatar Multiplexing 1.     Receives Language Preference, Avatar Model, Input Text, Input Speech, Personal Status, Participant ID, Face Descriptors, Body Descriptors.
2.     Provides the Portable Avatars of Participant with Participant ID.

 

5      I/O Data of Client Transmitter’s AI Modules

Table 3 gives the AI Modules of Client Transmitter AIW.

Table 3 – AI Modules of Client Transmitter AIW

AIM Input Output
Audio-Visual Scene Description Input Audio
Input Visual		 1.    Input Speech
2.    Speech Objects
3.     Participant ID
4.    Face Descriptors
5.    Body Descriptors
6.    Face Objects
Automatic Speech Recognition Speech Objects Recognised Text
Participant ID
Natural Language Understanding Recognised Text Meaning
Participant ID
Personal Status Extraction Meaning
Speech
Face Object
Body Object		 Personal Status
Participant ID
Portable Avatar Multiplexing Language Preference
Avatar Model
Input Text
Input Speech
Personal Status
Participant ID		 Portable Avatars.

6      AIW, AIM, and JSON Metadata of Videoconference Client Transmitter

Table 7 – AIMs and JSON Metadata

AIW AIMs Name JSON
PAF-CTX Videoconference Client Transmitter X
OSD-AVS Audio-Visual Scene Description X
CAE-ASD Audio Scene Description X
CAE-AAT Audio Analysis Transform X
CAE-ASL Audio Source Localisation X
CAE-ASE Audio Separation and Enhancement X
CAE-AST Audio Synthesis Transform X
CAE-AMX Audio Descriptor Multiplexing X
OSD-VSD Visual Scene Description X
OSD-AVA Audio-Visual Alignment X
MMC-ASR Automatic Speech Recognition X
MMC-NLU Natural Language Understanding X
MMC-PSE Personal Status Extraction X
MMC-ITD Input Text Description X
MMC-ISD Input Speech Description X
PAF-IFD Input Face Description X
PAF-IBD Input Body Description X
MMC-PTI PS-Text Interpretation X
MMC-PSI PS-Speech Interpretation X
PAF-PFI PS-Face Interpretation X
PAF-PGI PS-Gesture Interpretation X
MMC-PMX Personal Status Multiplexing X
– MMC-PMX Personal Status Multiplexing X