Audio Denoising Technology for Radio and Television Based on Deep Learning
With the rapid development of radio and television technology,the importance of audio quality to program production and dissemination has become increasingly prominent.However,all kinds of noise interference seriously affect the clarity of audio signals.Deep learning technology provides a new solution for audio noise reduction.By constructing a deep neural network model and using large-scale data training,complex noise can be effectively identified and removed,and audio quality can be significantly improved.The experimental results show that,compared with the traditional algorithm,the denoising method based on deep learning has better performance,and can effectively suppress various types of noise interference while maintaining the audio ontology information,which provides technical support for radio and television audio processing.
deep learningradio and televisionaudio denoisingneural networkssignal processing
NETL
NSTL
万方数据
