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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

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Real-time voice recognition API service

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Speech separation /analysis & noise elimination through voice filtering technology

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Speech synthesis though text information

Features

Speech with Noise

Noise elimination by applying voice filtering

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Speech recognition & separation + Quality enhancement

Configuration

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Use

AI Speaker

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  • Improved Speech recognition ratio

  • STT for AI speaker’s NPL process

  • Collaboration with leading AI speaker manufacturers

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Realtime call transcripts to text

  • Recognizes the voice of each speaker separately and records the call as a text document

  • Possible integration with video call platforms

Speech Synthesis

  • Reads text information in a selected voice

  • AI professional announcer’s voice function

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Automated Subtitle Generator

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  • Generates subtitles automatically by extracting audios directly from movies or audio files

  • Automated lyrics generation

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Telemedicine

  • Q&A between doctors & patients

  • Realtime diagnosis

  • Possible integration with video call platforms

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Online Classes

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  • Recognizes instructor’s voice and generates handwritten notes automatically

  • Natural communication & feedback environment (Q&A)