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Found 8 papers, 3 papers with code
Audio Deepfake Detection with Self-Supervised WavLM and Multi-Fusion Attentive Classifier
In this paper, we report our efforts to combine the self-supervised WavLM model and Multi-Fusion Attentive classifier for audio deepfake detection.
Masked Acoustic Unit for Mispronunciation Detection and Correction
Computer-Assisted Pronunciation Training (CAPT) plays an important role in language learning.
Accent Recognition with Hybrid Phonetic Features
The performance of voice-controlled systems is usually influenced by accented speech.
Text-Conditioned Transformer for Automatic Pronunciation Error Detection
In this paper, we propose to use the target text as an extra condition for the Transformer backbone to handle the APED task.
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
In this work, we present a new knowledge distillation method (named Collaborative Distillation) for encoder-decoder based neural style transfer to reduce the convolutional filters.
Structured Pruning for Efficient ConvNets via Incremental Regularization
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance loss.
Structured Pruning for Efficient ConvNets via Incremental Regularization
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade.
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Unlike existing deterministic pruning approaches, where unimportant weights are permanently eliminated, SPP introduces a pruning probability for each weight, and pruning is guided by sampling from the pruning probabilities.
