For wake engine,Deeply optimized echo cancellation algorithm.
For reverberation in room,De-reverberation algorithm that eliminates voice trailing
Beamforming algorithm for removing stationary noise like air conditioner and tire noise
Beamforming algorithm for removing non-stationary noise such as natural sounds and TV sound
Convergence time is less than 0.5s and echo suppression exceeds 35dB. Though under DoubleTalk condition, the algorithm still maintain its robustness and capability to optimize the wake engine of SoundAI which can effectively improve the recognition rate on music or TTS mode.
Effectively remove the phenomenon of speech tailing caused by room reverberation, enhance phonetic intelligibility, and elevate far-field speech recognition rate.
While the main direction voice remains undistorted, noises of air conditioner and tire are eliminated. The stationary noise suppression is more than 30dB.
While the main direction voice remains undistorted, non-stationary noises as natural sounds and TV are eliminated. The non-stationary noise suppression is more than 20dB which means higher recognition rate under noisy condition.
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