activity
20122023
most citedFurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation

15 citations · 61 across the 12 of their papers we have counts for

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12 papers · 1 filter

cs.SD2023

Spot keywords from very noisy and mixed speech

Ying Shi, Dong Wang, Lantian Li +2

Most existing keyword spotting research focuses on conditions with slight or moderate noise. In this paper, we try to tackle a more challenging task: detecting keywords buried unde…

cs.SD20222 cited

Contrastive Regularization for Multimodal Emotion Recognition Using Audio and Text

Fan Qian, Jiqing Han

Speech emotion recognition is a challenge and an important step towards more natural human-computer interaction (HCI). The popular approach is multimodal emotion recognition based…

cs.SD2020

Can We Trust Deep Speech Prior?

Ying Shi, Haolin Chen, Zhiyuan Tang +3

Recently, speech enhancement (SE) based on deep speech prior has attracted much attention, such as the variational auto-encoder with non-negative matrix factorization (VAE-NMF) arc…

cs.SD2020

LaFurca: Iterative Refined Speech Separation Based on Context-Aware Dual-Path Parallel Bi-LSTM

Ziqiang Shi, Rujie Liu, Jiqing Han

Deep neural network with dual-path bi-directional long short-term memory (BiLSTM) block has been proved to be very effective in sequence modeling, especially in speech separation,…

cs.SD2019

Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events

Hongwei Song, Jiqing Han, Shiwen Deng +1

In this paper, we propose a new strategy for acoustic scene classification (ASC) , namely recognizing acoustic scenes through identifying distinct sound events. This differs from e…

cs.SD20199 cited

A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition

Jiabin Xue, Jiqing Han, Tieran Zheng +2

Recently, data-driven based Automatic Speech Recognition (ASR) systems have achieved state-of-the-art results. And transfer learning is often used when those existing systems are a…