| 1 Function | 2 Reference Model | 3 Input/Output Data |
| 4 SubAIMs | 5 JSON Metadata | 6 Profiles |
| 7 Reference Software | 8 Conformance Testing | 9 Performance Assessment |
1 Functions
Audio Synthesis Transform (CAE-AST) receives an Enhanced Audio Object in the Transform domain, transforms the Audio Object back to the time domain and produces an Enhanced Audio Object with associated Microphone Array info:
| Receives | Enhanced Audio Object (Transform) | with associated Microphone Array info. |
| Transforms | Enhanced Audio Object (Transform) | from the frequency domain to the time domain via an Inverse Fast Fourier Transform (IFFT). |
| Produces | Enhanced Audio Object | with associated Microphone Array info. |
2 Reference Model
Figure 1 depicts the Reference Architecture of the Audio Synthesis Transform (CAE-AST) AIM.

Figure 1 – The Audio Synthesis Transform (CAE-AST) AIM
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Audio Synthesis Transform (CAE-AST) AIM.
Table 1 – I/O Data of Synthesis Transform (CAE-AST) AIM
| Input | Description |
| Enhanced Audio Objects (time-frequency) | Audio Objects in the time-frequency domain. |
| Output | Description |
| Enhanced Audio Objects (time) | Audio Objects in the time domain. |
4 SubAIMs
No SubAIMs.
5 JSON Metadata
https://schemas.mpai.community/CAE1/V2.4/AIMs/AudioSynthesisTransform.json
6 Profiles
No Profiles.
7 Reference Software
The Audio Synthesis Transform Reference Software can be downloaded from the MPAI Git.
8 Conformance Testing
| Receives | Enhanced Audio Objects (time-frequency) | Shall validate against the Audio Object schema. The Qualifier shall validate against the Audio Qualifier schema. The values of any Sub-Type, Format, and Attribute of the Qualifier shall correspond with the Sub-Type, Format, and Attributes of the Audio Object Qualifier schema. |
| Produces | Enhanced Audio Objects (time) | Shall validate against the Audio Object schema. The Qualifier shall validate against the Audio Qualifier schema. The values of any Sub-Type, Format, and Attribute of the Qualifier shall correspond with the Sub-Type, Format, and Attributes of the Audio Object Qualifier schema. |
9 Performance Assessment
Table 61 gives the Enhanced Audioconference Experience (CAE-EAE) Synthesis Transform Means and how they are used.
Table 61 – AIM Means and use of Enhanced Audioconference Experience (CAE-EAE) Synthesis Transform
| Means | Actions |
| Performance Testing Dataset | DS1: n Test files including data in Denoised Transform Speech format.
DS2: n Expected Output files including data in Denoised Speech format. |
| Procedure | 1. Feed the AIM under test with the Test files (DS1).
2. Analyse the Denoised Speech with the Expected Output files (DS2). |
| Evaluation | 1. Check the Denoised Speech data format with the given Expected Output files format.
2. Calculate the peak-to-peak Amplitude (A) of each Audio block in the Expected Output files. 3. Calculate the RMSE of each Audio block by comparing the output (x) with the Expected Output files (y) Audio blocks. 4. Accept the AIM under test if, for each audio block, these the two conditions are satisfied: a. Data format of the Denoised Speech is the same with the Expected Output Files and b. RMSE < A* 0.1% |

Figure 24 – Synthesis Transform Testing Flow
After the Tests, Performance Assessor shall fill out Table 62Table 62
Table 62 – Performance Assessment form of Enhanced Audioconference Experience (CAE-EAE) Synthesis Transform
| Performance Assessor ID | Unique Performance Assessor Identifier assigned by MPAI | ||||||||||||||||||||||||||||||
| Standard, Use Case ID and Version | Standard ID and Use Case ID, Version and Profile of the standard in the form “CAE:EAE:1:0”. | ||||||||||||||||||||||||||||||
| Name of AIM | Synthesis Transform | ||||||||||||||||||||||||||||||
| Implementer ID | Unique Implementer Identifier assigned by MPAI Store. | ||||||||||||||||||||||||||||||
| AIM Implementation Version | Unique Implementation Identifier assigned by Implementer. | ||||||||||||||||||||||||||||||
| Neural Network Version* | Unique Neural Network Identifier assigned by Implementer. | ||||||||||||||||||||||||||||||
| Identifier of Performance Testing Dataset | Unique Dataset Identifier assigned by MPAI Store. | ||||||||||||||||||||||||||||||
| Test ID | Unique Test Identifier assigned by Performance Assessor. | ||||||||||||||||||||||||||||||
| Actual output | The Performance Assessor will provide the following matrix with a limited number of input records (n) with the corresponding outputs. If an input record fails, the tester would specify the reason why the test case fails.
Final evaluation: T/F Denoting with i, the record number in DS1 and DS2, the matrices reflect the results obtained with input records i with the corresponding outputs i.
|
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| Execution time* | Duration of test execution. | ||||||||||||||||||||||||||||||
| Test comment* | Comments on test results and possible needed actions. | ||||||||||||||||||||||||||||||
| Test Date | yyyy/mm/dd. |
* Optional field