Search Results for author: Tei-Wei Kuo

Found 6 papers, 3 papers with code

NFL: Robust Learned Index via Distribution Transformation

1 code implementation24 May 2022 Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue

Based on the characteristics of the transformed keys, we propose a robust After-Flow Learned Index (AFLI).

A Fast Transformer-based General-Purpose Lossless Compressor

1 code implementation30 Mar 2022 Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue

To ease this problem, this paper targets on cutting down the execution time of deep-learning-based compressors.

SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points

no code implementations8 Nov 2021 Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo

In this paper, a novel sign-exponent-only floating-point network (SEOFP-NET) technique is proposed to compress the model size and accelerate the inference time for speech enhancement, a regression task of speech signal processing.

Model Compression regression +1

Speech Recovery for Real-World Self-powered Intermittent Devices

no code implementations9 Jun 2021 Yu-Chen Lin, Tsun-An Hsieh, Kuo-Hsuan Hung, Cheng Yu, Harinath Garudadri, Yu Tsao, Tei-Wei Kuo

The incompleteness of speech inputs severely degrades the performance of all the related speech signal processing applications.

Variational Nested Dropout

1 code implementation CVPR 2021 Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue Liu, Tei-Wei Kuo, Chun Jason Xue

Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training.

Representation Learning

A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)

no code implementations17 Aug 2018 Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo

We evaluated the proposed EOFP quantization technique on two types of neural networks, namely, bidirectional long short-term memory (BLSTM) and fully convolutional neural network (FCN), on a speech enhancement task.

Quantization regression +1

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