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Found 3 papers, 1 papers with code
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
Supervised speech enhancement relies on parallel databases of degraded speech signals and their clean reference signals during training.
Domain-Specific Suppression for Adaptive Object Detection
The directions of weights, and the gradients, can be divided into domain-specific and domain-invariant parts, and the goal of domain adaptation is to concentrate on the domain-invariant direction while eliminating the disturbance from domain-specific one.
Learnable Spectro-temporal Receptive Fields for Robust Voice Type Discrimination
Voice Type Discrimination (VTD) refers to discrimination between regions in a recording where speech was produced by speakers that are physically within proximity of the recording device ("Live Speech") from speech and other types of audio that were played back such as traffic noise and television broadcasts ("Distractor Audio").
Audio and Speech Processing
