Applications of knowledge distillation in remote sensing: A survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …
increasing demand for solutions that balance model accuracy with computational efficiency …
[PDF][PDF] EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios
Abstract Self-Supervised Learning (SSL) models have demonstrated exceptional
performance in various speech tasks, particularly in low-resource and multilingual domains …
performance in various speech tasks, particularly in low-resource and multilingual domains …
One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model
We propose a novel one-pass multiple ASR systems joint compression and quantization
approach using an all-in-one neural model. A single compression cycle allows multiple …
approach using an all-in-one neural model. A single compression cycle allows multiple …