Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning.
Hao LiDeLiang WangXueliang ZhangGuanglai GaoPublished in: INTERSPEECH (2020)
Keyphrases
- signal to noise ratio
- deep learning
- noise reduction
- machine learning
- edge detection
- unsupervised learning
- minimum mean square error
- received signal
- weakly supervised
- deep architectures
- unsupervised feature learning
- d objects
- computer vision
- mental models
- bit error rate
- natural language processing
- markov random field
- reinforcement learning
- estimation algorithm
- data mining