Design of Short-Wave Voice Signal Detection Platform Based on Artificial Intelligence
Chuan Wu, Yanfei Qiao, Hongshuai Li · 2022
Under the condition of short-wave variable parameter channel, the accuracy rate of common Voice Activity Detection method always need to improve because of the influence of low signal-to-noise ratio and complex environmental noise. With the rise of artificial intelligence (AI), signal recognition which is based on statistical machine learning theory of artificial neural networks, is gradually becoming the main direction of signal recognition areas. A short-wave speech signal detection platform is designed in this article, it can finish the better short-wave speech signal detection even under low SNR (signal-to-noise ratio), and it can give the time segmentation of the speech signal.