Research on Speech Enhancement Algorithms for Wearable Devices
Jingze Fu, Fulang Sun, Hao Yong Yin, Bingyu Shen, Zihao Wang, Hengfan Zhang · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems · 2023
Speech is the primary information carrier in human communication and the interference could be caused by environmental noise.The speech enhancement algorithm is an effective method to reduce noise and improve the subjective feeling of the human ear.The existing speech enhancement algorithms can be divided into two categories: single-channel methods and dual-channel methods.This research analyzed the two main digital signal processing topics for speech enhancement algorithms.This included the traditional single channel speech enhancement algorithm and the dual-channel speech enhancement algorithm.The traditional single channel speech enhancement algorithm was further divided into two categories: traditional enhancement algorithms based on digital signal processing and learning enhancement algorithms based on data-driven.The traditional algorithms have limitations in processing non-stationary noise, whereas deep learning has significantly improved handling non-stationary noise.The dual-channel speech enhancement algorithm adds a second microphone to collect noise, providing more real noise for enhancement.This research briefly described the main dual-channel speech enhancement algorithms, including adaptive noise cancelling and firstorder difference microphone.In conclusion, the research found that deep learning has shown significant improvement in handling non-stationary noise in singlechannel speech enhancement algorithms, and dual-channel speech enhancement algorithms have the potential to provide more real noise for enhancement.