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1     Function 2     Reference Model 3     Input/Output Data
4     SubAIMs 5     JSON Metadata 6     Profiles
7     Reference Software 8     Conformance Texting 9     Performance Assessment

1     Functions

Portable Avatar Demultiplexing (PAF-PDX):

Receives Portable Avatar
Demultiplexes Elements in Portable Avatar.
Produces – Portable Avatar ID
– Avatar Space-Time
– Avatar
– Language Selector
– Speech Object
– Text Object
– Speech Model
– Personal Status
– Audio Visual Scene Descriptors
– Audio Visual Scene Space Time

2     Reference Model

Figure  1 specifies the Reference Model of the Personal Avatar Demultiplexing (PAF-PDX) AIM.

Figure  1– The Personal Avatar Demultiplexing (PAF-PDX) AIM

3    Input/Output Data

Table 1 specifies the Input and Output Data of the Portable Avatar Demultiplexing (PAF-PDX) AIM.

Table 1 – Portable Avatar Demultiplexing (PAF-PDX) AIM

Input Description
Portable Avatar From an upstream AIM or another AIW.
Output Description
AvatarID Avatar ID.
Avatar Space-Time Portable Avatar Time.
Avatar Avatar in Portable Avatar.
Language Selector Language of Avatar.
Speech Object The Speech in the time when the PA is valid.
Text Object The Time in the time when the PA is valid.
Speech Model The NN Model used to synthesise text.
Avatar Personal Status The Avatar’s Personal Status.
AV Scene Descriptors  Descriptors of AV Scene.
AV Scene Space-Time  Space-Time info of AV Scene.

4     SubAIMs

No SubAIMs.

5     JSON Metadata

https://schemas.mpai.community/PAF/V1.3/AIMs/PortableAvatarDemultiplexing.json

6     Profiles

No Profiles.

7     Reference Software

8     Conformance Testing

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

Note that a schema may contain references to other schemas. In this case, validation of data for the primary schema implies that any data that refers to a secondary schema shall also validate.

Table 2 – Conformance Testing Method for PAF-PDX AIM

Receives Portable Avatar Shall validate against Portable Avatar Schema.
Portable Avatar Data shall conform with respective Qualifiers.
Produces Portable Avatar ID Shall be string or validate against Instance ID Schema.
Avatar Space-Time Shall validate against Space-Time Schema.
Avatar Shall validate against Avatar Schema.
Avatar Model Data shall conform with 3D Model Qualifier.
Language Selector Shall validate against “Language” Selector Schema.
Text Object Shall validate against Text Object Schema.
Text Data shall conform with Text Qualifier.
Speech Object Shall validate against Speech Object Schema.
Speech Data shall conform with Speech Qualifier.
Speech Model Shall validate against Machine Learning Model Schema.
Speech Model Data shall conform with Machine Learning Model Qualifier.
Personal Status Shall validate against Personal Status Schema.
Audio Visual Scene Descriptors Shall validate against AV Scene Descriptors Schema.
Audio Visual Scene Space-Time Shall validate against Space-Time Schema.

9     Performance Assessment

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