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Papers
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
ICML 2022
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
IJCAI 2022
NAS-SCAE: Searching Compact Attention-based Encoders For End-to-end Automatic Speech Recognition
INTERSPEECH 2022
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT
INTERSPEECH 2022
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition
INTERSPEECH 2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
INTERSPEECH 2022
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition
INTERSPEECH 2022
Squashed Weight Distribution for Low Bit Quantization of Deep Models
INTERSPEECH 2022
Knowledge distillation for In-memory keyword spotting model
INTERSPEECH 2022
FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models
INTERSPEECH 2022
MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks
INTERSPEECH 2022
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition
INTERSPEECH 2022
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization
INTERSPEECH 2022
Decoupled Federated Learning for ASR with Non-IID Data
INTERSPEECH 2022