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1. Technical Specification 2. Conformance Testing 3. Performance Assessment

1. Technical Specifications

This page is linked to the specification of the Data Types of Technical Specification: Context-based Audio Enhancement (MPAI-CAE) V2.3. All V2.3 Data Types supersede the previously specified MPAI-MMC Data Types. Use of earlier versions of Data Types is permitted if their version is explicitly signalled.

The Table provides web links to the specification of Data Types used by CAE-TEC V2.3. The complete list of Data Types specified by V2.1 and V2.2 is available.

Audio Basic Scene Descriptors Audio Basic Scene Geometry Audio Object Audio Scene Descriptors
Audio Scene Geometry Damaged List Microphone Array Geometry

2     Conformance testing

A Data instance of a Data Type Conforms with CAE-USC V2.3 if the JSON Data validate against the relevant CAE-USC V2.3 JSON Schema and if the Data Conforms with the relevant Data Qualifier, if present. CAE-USC V2.3 does not provide method for testing the Conformance of the Semantics of the Data instance to the CAE-USC V2.3 specification.

Conformance testing can be performed by a human using a JSON Validator to verify the Conformance of the syntax of JSON Data to the relevant JSON Schema; and, if the Data has a Qualifier, to verify that the syntax of the Data conforms with the relevant values in the Data Qualifier. Alternatively, Conformance testing can be performed by software implementing the steps above.

3. Performance Assessment

Performance Assessment provides methods of assessing the performance of an Data instance. Performance may have various connotations, such as:

  1. Quality: Performance Assessment measures the quality of the Data instance using a metric that depends on the nature of the Data, e.g., the lack or the amount of impairment of a compressed stereo audio compared to the original uncompressed audio.
  2. Bias: Performance Assessment measures the disparity of treatment applied to the Data instance using a metric that depends on a bias related to certain attributes of the Data instance. For instance, certain frequency ranges of an instance of Audio Data nay be treated worse that others.
  3. Legal compliance: Performance Assessment uses an appropriate metric to measure how well the Data instance complies with with a certain legal standard.

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