Key point
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We have successfully developed new noise reduction/removal technologies, such as in-frame processing method that works even with time-varying noise, which is effective not only for call quality such as telephone calls, but also for personal authentication and device control by voice, and is applicable not only to voice, but also to images.
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It can also support the use of deep learning.
Benefit
The advantages of the noise reduction/removal technology developed in this laboratory are as follows.
・A noise suppression method that uses only the current frame.
・Can be used for various frame-based noise reduction techniques in real-time processing.
・Comprises of multiple methods and can effectively emphasize voice (signal-to-noise ratio improvement) in various noisy environments including the conditions with time-varying noise.
・Little distortion in musical noise (residual noise) and sound spectrum.
・Application to the neural network is possible. ・Applicable not only to voice but also to image.
・A noise suppression method that uses only the current frame.
・Can be used for various frame-based noise reduction techniques in real-time processing.
・Comprises of multiple methods and can effectively emphasize voice (signal-to-noise ratio improvement) in various noisy environments including the conditions with time-varying noise.
・Little distortion in musical noise (residual noise) and sound spectrum.
・Application to the neural network is possible. ・Applicable not only to voice but also to image.
Market Application
This technology is suitable for extracting a clear voice in a real-life environment with many noises.
It is useful not only for improving the quality of voice calls in a real-life environment, but also for improving voice recognition performance.
・Voice recognition in mobile devices
・Instructions and conversations with electrical appliances and AI devices at home.
・Applicable to exporting audio to text in a real-life environment and uses that require precise voice recognition.
・Speech recognition and speaker recognition for automatic driving of a car
・Applicable to voice security systems.
Moreover, the noise reduction/removal technology developed in this laboratory is applicable to various fields where the signal and noise are separated (e.g., ocean, human body, living organism, music, etc.) and also to images.
It is useful not only for improving the quality of voice calls in a real-life environment, but also for improving voice recognition performance.
・Voice recognition in mobile devices
・Instructions and conversations with electrical appliances and AI devices at home.
・Applicable to exporting audio to text in a real-life environment and uses that require precise voice recognition.
・Speech recognition and speaker recognition for automatic driving of a car
・Applicable to voice security systems.
Moreover, the noise reduction/removal technology developed in this laboratory is applicable to various fields where the signal and noise are separated (e.g., ocean, human body, living organism, music, etc.) and also to images.