A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor

A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor

Blog Article

The quality and intelligibility of the speech are usually impaired by the interference of background noise when using internet voice calls.To solve this problem in the context of wearable smart NEFF N70 T27CS59S0 Gas Hob - Black devices, this paper introduces a dual-microphone, bone-conduction (BC) sensor assisted beamformer and a simple recurrent unit (SRU)-based neural network postfilter for real-time speech enhancement.Assisted by the BC sensor, which is insensitive to the environmental noise compared to the regular air-conduction (AC) microphone, the accurate voice activity detection (VAD) can be obtained from the BC signal and incorporated into the adaptive noise canceller (ANC) and adaptive block matrix (ABM).The SRU-based postfilter consists of a recurrent neural network with a small number of parameters, which improves the computational efficiency.

The sub-band signal processing is designed to compress HatsHat AccessoriesHat Band Calf Hair the input features of the neural network, and the scale-invariant signal-to-distortion ratio (SI-SDR) is developed as the loss function to minimize the distortion of the desired speech signal.Experimental results demonstrate that the proposed real-time speech enhancement system provides significant speech sound quality and intelligibility improvements for all noise types and levels when compared with the AC-only beamformer with a postfiltering algorithm.