| I&T Solution |
AI Speech-to-Text for Statement Taking and Incident Investigation
(REF: S-1309) |
| Trial Project |
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| Solution Feature |
- Automatically detect and transcribes speeches in mixed languages (English, Cantonese, Mandarin)
- Speech-enabled incident logging for field investigation and management
- Automatic incident type classification and keyword tagging
- Voice memo and automatically transcribe to text for filing. Speech-enabled automated statement taking during interviews with case parties
- Case Assessment and Investigation Report: Enables audio mining to search for facts and causes
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| Trial Application and Expected Outcome |
- First, we would need to understand what are the incidents and key information that the end-users need to cover.
- Leverage speech-to-text (STT) technologies, which supports mixed language and auto-language detection capabilities, to transcribe users’ natural voice input to text.
- Send the text to for analysis which leverages Natural Language Processing (NLP) technology to automatically classify the incident types and tag useful information.
- The application sends the transcript and analysis results central management office for up-to-date incident and details.
- If needed, leverage machine learning to improve STT and NLP accuracy for special domain or acoustic environment
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| Additional Solution Information |
Callinter Lite_v08.2022.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Fano Labs Limited | | Address | : | Units 1507 - 1511, 15/F, 19W, 19 Science Park Avenue West, Hong Kong Science Park, Shatin | | Contact Person | : | Charles Wong |
| Position | : | Business Development Director | | Tel | : | 31022896 | | Email | : |
charles@fano.ai | | Webpage | : | https://www.fano.ai/ |
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