Supports various scenarios such as web meetings and face-to-face meetings! Automatically identifies and displays the speaker.
"AmiVoice Super Meeting Memo" is a cloud-based meeting minutes creation platform service that can instantly convert spoken words during meetings and discussions into text using voice recognition. It utilizes a speech recognition engine implemented with deep learning technology specialized for the construction and real estate industries, allowing for smooth conversion of technical and industry-specific terms. Additionally, with recording, playback, and search functions, you can edit while listening to the audio. 【Features】 ■ Real-time full recognition of spoken words during meetings ■ Web app format that can be used anywhere, including phone and video conferences ■ Various meeting minutes editing functions ■ Management of meeting information including photos and distributed materials *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Four Reasons to Choose Us】 ■ Top-class voice recognition system ■ Compatible with various scenarios, including web meetings and face-to-face meetings ■ Automatic identification and display of speakers based on voice characteristics ■ Smooth recognition of industry-specific and technical terms *For more details, please refer to the PDF document or feel free to contact us.
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【Usage】 ■ Various meetings and discussions in person ■ Transcription of web conferences, telework, online business negotiations, and webinars ■ Transcription of lectures and seminar interviews *For more details, please refer to the PDF document or feel free to contact us.
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Advanced Media Inc. offers a wide range of attractive speech recognition AI based on domain-specific high-precision speech recognition at appealing prices. With domain-specific data accumulation, expertise in improving accuracy, and technological innovations through AI, we surpass the speech recognition capabilities of large Western companies, maintaining an advantage in improving recognition accuracy over time. We aim to achieve natural communication between humans and machines, creating a rich future.