Opportunity
VisionSpace provides systems for satellite and ground-station operations. The team identified an opportunity to make spacecraft voice-loop communications easier to search and review. These exchanges were stored as raw audio files, which limited their practical use in later analysis.
Challenge
- Manual Effort: Time-consuming extraction of operational insights from audio recordings.
- Accuracy Barriers: Technical jargon and diverse accents demanded tailored transcription solutions.
- Limited Searchability: Raw audio formats hindered efficient information retrieval during critical mission periods.
Solution
1D.works developed a customized Automatic Speech Recognition (ASR) system:
- Raspberry Pi Interface: Captured real-time audio from ESOC’s voice loop system.
- AI-powered Backend: Advanced speech-to-text engine transcribed and indexed audio efficiently.
- Interactive Dashboard: Provided easy access, editing, and keyword-based searching of transcriptions.
- Domain-Specific Adaptation: Adapted the transcription model and vocabulary for specialised space-industry terminology.
Delivered Capabilities
- Searchable Review: Converted voice-loop recordings into editable, keyword-searchable transcripts.
- Domain Adaptation: Tuned the transcription workflow for specialist terminology and varied accents.
- Operational Retrieval: Made it easier for authorised users to locate and review relevant exchanges.
- Deployable Interface: Connected audio capture, transcription, indexing, and review in one workflow.
The system turned stored audio into searchable operational records. Any effect on decision quality, mission performance, or review time requires measurement against the previous process.
Explore our AI Workflow Integration service. Read: Applying AI in the Real-World.