Automatically transcribe meeting content with high-precision voice recognition to improve business efficiency!
We would like to introduce a case of developing an "AI Meeting Minutes Automation System" at our company. During the development, we faced challenges such as processing simultaneous speech from multiple speakers and speaker identification. In response to these challenges, we enhanced the acoustic model and language model using BERT, and also supported API integration with major meeting tools like Zoom and Teams. 【Technical Challenges】 ■ Processing simultaneous speech from multiple speakers and speaker identification ■ Custom dictionary support for industry-specific and technical terms ■ Noise removal in noisy and echo-prone environments *For more details, please download the PDF or feel free to contact us.
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basic information
**Main Achievements** - Meeting minutes creation time: 80% reduction compared to conventional methods - Multilingual support: Automatic switching between languages - Text accuracy: Approximately 92%, including industry-specific terminology - Voice separation: Achieved speaker identification accuracy of over 85% *For more details, please download the PDF or feel free to contact us.*
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.
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