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1 Function 2 Reference Model 3 Input/Output Data
4 Functions of AI Modules 5 I/O Data of AI Modules
 6 AIW, AIM, and JSON Metadata
7 Reference Software 8 Conformance Texting 9 Performance Assessment

1 Functions

The functions of the Videoconference Client Transmitter are to:

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

2 Reference Model

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

Figure 1 – Reference Model of Videoconference Client Transmitter (PAF-ABV)

At the start, each participant provides:

  1. Language Selector
  2. Avatar Model.
  3. Speech Object (for Authentication).
  4. Face Object (for Authentication).
  5. Participant ID

During the videoconference:

  1. Audio-Visual Scene Description produces Speech Objects, Face Objects, Face Descriptors, Body Descriptors and Audio-Visual Scene Geometry.
  2. Automatic Speech Recognition produces Recognised Text.
  3. Personal Status Extraction produces Personal Status.
  4. Portable Avatar Multiplexing multiplexes Recognised Text, Personal Status, Input Speech, Face Descriptors, Body Descriptors, Language Selector, Avatar Model, and Participant ID.
  5. Videoconference Client Transmitter sends Portable Avatars to Avatar Videoconference Server that the Server processes and re-distributes to Client Receivers.

3 Input and Output Data

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 participant to communicate with Virtual Meeting Secretary or other participants
input Selector The language(s) a participant wishes to speak and hear.
Input Audio Audio of a participants’ Speech in a meeting room.
Input Visual Visual of participants in a meeting room.
Avatar Model The avatar model selected by the participant.
Output Description
Speech Object A participant’s utterance used by Server for authentication.
Participant Portable Avatar Portable Avatar produced by Client Transmitter.
Face Object Participant’s face used by Server for authentication.

4 Functions of 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, Face Descriptors, Body Descriptors, Face Object.
Automatic Speech Recognition 1. Receives Input Speech.
2. Provides Recognised Text.
Personal Status Extraction 1. Receives Recognised Text, Speech, Face Descriptors, Body Descriptors.
2. Provides the Participant’s Personal Status.
Portable Avatar Multiplexing 1. Receives Language Selector, Avatar Model, Input Text, Input Speech, Recognised Text, Personal Status, Participant ID, Face Descriptors, Body Descriptors.
2. Provides Participant Portable Avatars.

5 I/O Data of 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		 Input Speech
Speech Object
Face Object
Face Descriptors
Body Descriptors
Automatic Speech Recognition Input Speech Recognised Text
Personal Status Extraction Recognised Text
Input Speech
Face Descriptors
Body Descriptors		 Personal Status
Portable Avatar Multiplexing Recognised Text
Personal Status
Input Speech
Face Descriptors
Body Descriptors
Input Text
Language Selector
Avatar Model
Participant ID		 Portable Avatar.

6 AIW, AIM, and JSON Metadata

Table 4 – AIW, WIMs, and JSON Metadata

AIW AIMs/1 AIMs/2 AIMs/3 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 Descriptors Multiplexing X
OSD-VSD Visual Scene Description X
OSD-AVA Audio-Visual Alignment X
MMC-ASR Automatic Speech Recognition X
MMC-PSE Personal Status Extraction X
MMC-ETD Entity Text Description X
MMC-ESD Entity Speech Description X
PAF-EFD Entity Face Description X
PAF-EBD Entity 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
PAF-PMX Portable Avatar Multiplexing X

7 Reference Software

8 Conformance Testing

Table 2 provides the Conformance Testing Method for PAF-CTX AIM.

If a schema contains references to other schemas, conformance of data for the primary schema implies that any data referencing a secondary schema shall also validate against the relevant schema, if present and conform with the Qualifier, if present.

Table 2 – Conformance Testing Method for PAF-CTX AIM

Receives Input Text Shall validate against Text Object Schema.
Text Data shall conform with Text Qualifier.
input Selector Shall validate against Selector Schema.
Input Audio Shall validate against Audio Object Schema.
Speech Data shall conform with Audio Qualifier.
Input Visual Shall validate against Visual Object Schema.
Visual Data shall conform with Visual Qualifier.
Avatar Model Shall validate against 3D Model Object Schema.
Speech Data shall conform with 3D Model Qualifier.
Produces Speech Object Shall validate against Speech Object Schema.
Speech Data shall conform with Speech Qualifier.
Participant Portable Avatar Shall validate against Portable Avatar Schema.
Portable Avatar Data shall conform with respective Qualifiers.
Face Object Shall validate against Visual Object Schema.
Face Data shall conform with Visual Qualifier.

9 Performance Assessment

 

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