Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation.
Hao LiDeLiang WangXueliang ZhangGuanglai GaoPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2021)
Keyphrases
- signal to noise ratio
- recurrent neural networks
- acoustic features
- noise reduction
- neural network
- recurrent networks
- feed forward
- artificial neural networks
- visual features
- echo state networks
- minimum mean square error
- edge detection
- bit error rate
- speaker verification
- received signal
- cross correlation
- image processing