Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement.
Yi LiYang SunKirill V. HoroshenkovSyed Mohsen NaqviPublished in: IEEE Trans. Artif. Intell. (2022)
Keyphrases
- domain adaptation
- speech enhancement
- semi supervised
- noise reduction
- noisy environments
- manifold alignment
- signal to noise ratio
- single channel
- semi supervised learning
- labeled data
- speech signal
- cross domain
- supervised learning
- unsupervised learning
- transfer learning
- linear prediction
- unlabeled data
- target domain
- smoothing algorithm
- vocal tract
- multiple sources
- co training
- edge detection
- data sets
- wiener filter
- training data
- multi channel
- active learning
- sentiment classification
- document classification
- probabilistic model
- test data
- frequency domain
- non stationary
- signal processing
- image segmentation
- decision trees