Technical Specification: Context-based Audio Enhancement (MPAI CAE) V2.1 includes 4 Use Cases each of which can be implemented as AI Workflows in an AI Framework:
- Audio Recording Preservation
- Emotion Enhanced Speech
- Speech Recording System
- Enhanced Audioconference Experience.
1 Audio Recording Preservation
1.1 Functions of AI Workflow
The functions of the Audio Recording Preservation AIW enables the production of Preservation Master Files and Access Copy Files by providing two files:
- A Preservation Audio File obtained by digitising an open reel audio recording tape.
- A Preservation Audio-Visual File whose content includes the recorded sound and the video obtained by capturing with a camera the playback head of the magnetic tape recorder.
1.2 Reference Architecture
1.3 Input/Output Data AI Workflow
| Input Data | Semantics |
| Preservation Audio File | The input Audio File resulting from the digitisation of an audio open-reel tape to be preserved and, in case, restored. |
| Preservation Audio-Visual File | The input Audio-Visual File produced by a camera pointed to the playback head of the magnetic tape recorder and the synchronised Audio resulting from the tape digitisation process. |
| Output data | Comments |
| Preservation Master Files | Set of files providing the information stored in an audio tape recording without any restoration. |
| Access Copy Files | Set of files providing the information stored in an audio tape recording, including Restored Audio Files, suitable for audio information access, but not for long-term preservation. |
2 Enhanced Audioconference Experience
2.1 Functions of AI Workflow
2.2 Reference Architecture
2.3 Input/Output Data AI Workflow
3 Emotion Enhanced Speech
3.1 Functions of AI Workflow
3.2 Reference Architecture
3.3 Input/Output Data of AI Workflow
4 Speech Recording System
4.1 Functions of AI Workflow
4.2 Reference Architecture
3.3 Input/Output Data AI Workflow
