Speech-to-text (STT) Application for Appreciation and Potential Complaint Cases Identification and Call Centre Operational Efficiency Enhancement

I&T Solution Speech-to-text (STT) Application for Appreciation and Potential Complaint Cases Identification and Call Centre Operational Efficiency Enhancement
(REF : S-1132)
Trial Project
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
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.
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

For details of the above I&T solution, please contact the I&T solution provider.