Philo-S
Deep learning-based voice recognition and quality enhancement solution
It is a voice recognition and speech separation & analysis solution that learns voice data through a deep learning-based acoustic model, enhances voice recognition, speech classification capabilities as well as quality through RNN-based speech vector generation
Real-time voice recognition API service
Speech separation /analysis & noise elimination through voice filtering technology
Speech synthesis though text information
Features
Speech with Noise
Noise elimination by applying voice filtering
Speech recognition & separation + Quality enhancement
Configuration
Use
AI Speaker
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Improved Speech recognition ratio
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STT for AI speaker’s NPL process
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Collaboration with leading AI speaker manufacturers
Realtime call transcripts to text
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Recognizes the voice of each speaker separately and records the call as a text document
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Possible integration with video call platforms
Speech Synthesis
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Reads text information in a selected voice
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AI professional announcer’s voice function
Automated Subtitle Generator
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Generates subtitles automatically by extracting audios directly from movies or audio files
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Automated lyrics generation
Telemedicine
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Q&A between doctors & patients
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Realtime diagnosis
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Possible integration with video call platforms
Online Classes
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Recognizes instructor’s voice and generates handwritten notes automatically
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Natural communication & feedback environment (Q&A)
Video Conferencing
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Enhancement of voice quality by eliminating noise for each speaker
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Automatically generates meeting minutes by each speaker through feature extraction and separation
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Possible integration with video conferencing platform
Case study
Online class service provider
AI solution for advanced voice quality of multi-user online lecture platform
