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20112026
most citedSupervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

325 citations

Showing 2018 · eess.ASShow all

6 papers · 2 filters

eess.AS2018

Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition

Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang +3

Conventional deep neural network (DNN)-based speech enhancement (SE) approaches aim to minimize the mean square error (MSE) between enhanced speech and clean reference. The MSE-opt…

eess.AS2018★ 5 cited

A Streamlined Encoder/Decoder Architecture for Melody Extraction

Tsung-Han Hsieh, Li Su, Yi-Hsuan Yang

Melody extraction in polyphonic musical audio is important for music signal processing. In this paper, we propose a novel streamlined encoder/decoder network that is designed for t…

eess.AS2018★ 56 cited

Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders

Wen-Chin Huang, Hsin-Te Hwang, Yu-Huai Peng +2

An effective approach to non-parallel voice conversion (VC) is to utilize deep neural networks (DNNs), specifically variational auto encoders (VAEs), to model the latent structure…

eess.AS2018

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

Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu +2

Numerous studies have investigated the effectiveness of neural network quantization on pattern classification tasks. The present study, for the first time, investigated the perform…

eess.AS2018★ 15 cited

Pop Music Highlighter: Marking the Emotion Keypoints

Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang

The goal of music highlight extraction is to get a short consecutive segment of a piece of music that provides an effective representation of the whole piece. In a previous work, w…

eess.AS2018★ 8 cited

Informed Group-Sparse Representation for Singing Voice Separation

Tak-Shing T. Chan, Yi-Hsuan Yang

Singing voice separation attempts to separate the vocal and instrumental parts of a music recording, which is a fundamental problem in music information retrieval. Recent work on s…