Enhancing The Quality Of Speech Using Rnn And Cnn
Prudhvi Chowdary · i-manager s Journal on Digital Signal Processing · 2020
Most of the present literature on speech enhancement focus totally on existence of noise in corrupted speech which is way from real-world environments. In this project we choose to enhancing the speech signal from the noise and reverberant using RNN and CNN. We trained separate networks for both RNN and CNN with noise, reverberation and both combination of reverberant and noise data. A simple way to enhance the quality of speech is raise the quality of the previous recordings by using speech training with speech enhancement methods like noise suppression and dereverberation using Neural Networks. The quality of voices trained with lower quality data that are enhanced using these networks was significantly higher. The comparison of RNN and CNN is shown and the experimental results are performed using MATLAB tool.