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eess.AS2022★ 75 cited
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Sehoon Kim, Amir Gholami, Albert Shaw +5
The recently proposed Conformer model has become the de facto backbone model for various downstream speech tasks based on its hybrid attention-convolution architecture that capture…
eess.AS2021
Integer-only Zero-shot Quantization for Efficient Speech Recognition
Sehoon Kim, Amir Gholami, Zhewei Yao +7
End-to-end neural network models achieve improved performance on various automatic speech recognition (ASR) tasks. However, these models perform poorly on edge hardware due to larg…