| I&T Solution |
Speech-to-text (STT) Application for Appreciation and Potential Complaint Cases Identification and Call Centre Operational Efficiency Enhancement
(REF: S-1132) |
| Matched I&T Wish |
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| Trial Project |
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| Solution Feature |
- Solution for applications that require multilingual, mixed-lingual automatic speech recognition (ASR) and/or speech-to-text (STT) and/or natural language understanding (NLU).
- Multi-cultural environments such as trilingual Hong Kong, where Cantonese, Putonghua Chinese, and English are commonly spoken.
- Empowered by Artificial Intelligence, Machine and Deep Learning Technology
- Noise and Accent Tolerance in City Environments
- Industry-Standard Compliance. Phone and Data Networks
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| Trial Application and Expected Outcome |
- A total solution incorporated with ASR, STT, and NLP for analyzing call recordings
- Can analysis the sentiment of the caller and agent through the tone of voice
- Call Centre Operational Efficiency Enhancement
- Through AI analytic technology on keyword spotting, it is able to detect customer satisfaction and dissatisfactions for digging out the appreciation and potential complaint cases.
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| Info on I&T Solution Provider |
| Solution Provider | : | Chevalier(Network Solutions)Ltd | | Address | : | 香港九龍灣宏開道8號其士商業中心22樓 | | Contact Person | : | Mike Chu |
| Position | : | Assistant Technical Manager | | Tel | : | 27984437 | | Email | : |
mike_chu@chevalier.com |
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