| 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
Speech Personal Status Extraction (MMC-SPE):
| Receives | Input Selector | signaling whether a Speech Object or Speech Descriptors are provided. |
| Speech Object | from which the Personal Status should be extracted. | |
| Speech Descriptors | from which the Personal Status should be extracted. SPD are externally computed | |
| Produces | Speech Personal Status. |
2 Reference Model
Figure 1 depicts the Reference Model of the Speech Personal Status Extraction (MMC-SPE) AIM.
Figure 1 – Speech Personal Status Extraction (MMC-SPE) AIM Reference Model
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Speech Personal Status Extraction (MMC-SPE) AIM.
Table 1 – I/O Data of the Speech Personal Status Extraction (MMC-SPE) AIM
| Input | Description |
| Input Selector | Signals whether a Speech Object or its Speech Descriptors should be used to extracts Speech Personal Status . |
| Speech Object | Speech Object from which the Personal Status should be extracted.. |
| Speech Descriptors | Descriptors from which the Personal Status should be extracted.. |
| Output | Description |
| Speech Personal Status | The computed Speech Personal Status. |
4 SubAIMs
A Speech Personal Status Extraction (MMC-SPE) AIM instance may be implemented as a Composite AIM as specified in Figure 2.
Figure 2 – Reference Model of Speech Personal Status Extraction (MMC-SPE) Composite AIM
5 JSON Metadata
https://schemas.mpai.community/MMC/V2.3/AIMs/SpeechPersonalStatusExtraction.json
6 Profiles
No Profiles
7. Reference Software
8. Conformance Testing
The Conformance Testing Method for the MMC-SPE Basic AIM is provided here. The Conformance Testing Method for the individual Basic AIMs of the MMC-SPE Composite AIM is provided by the individual Basic AIMs.
Table 2 provides the Conformance Testing Method for MMC-SPE 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 MMC-SPE AIM
| Input | Input Selector | Shall validate against Selector schema. |
| Speech Object | Shall validate against Speech Object schema. Speech Data shall conform with Speech Qualifier. |
|
| Speech Descriptors | Shall validate against Speech Descriptors schema. | |
| Output | Speech Personal Status | Shall validate against Personal Status schema. |
Table 3 provides an example of MMC-SPEAIM conformance testing.
Table 3 – An example MMC-AQM SPE conformance testing
| Input Data | Data Type | Input Conformance Testing Data |
| Speech Object | .wav | All input Speech files to be drawn from Speech files. |
| Output Data | Data Type | Data Format |
| Emotion (Speech) | JSON | All Emotion JSON files shall validate against Emotion Schema. |
emotion_Name and emotion_SetName must be present in the output JSON file of Emotion. The value of either of the two may be null.
