2023
I3D: Transformer Architectures with Input-Dependent Dynamic Depth for Speech Recognition
ICASSP 2023accepted
Transformer-based end-to-end speech recognition has achieved great success. However, the large footprint and computational overhead make it difficult to deploy these models in some real-world applications. Model compression techniques can reduce the model size and speed up inference, but the compres…