Jiqing Han | DeepAI

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Zhihao Du
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∙ 05/28/2023

Spot keywords from very noisy and mixed speech

Most existing keyword spotting research focuses on conditions with sligh...

0 Ying Shi, et al. ∙

∙ 05/05/2023

Time-weighted Frequency Domain Audio Representation with GMM Estimator for Anomalous Sound Detection

Although deep learning is the mainstream method in unsupervised anomalou...

0 Jian Guan, et al. ∙

∙ 02/27/2023

Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition

The lack of data and the difficulty of multimodal fusion have always bee...

0 Dekai Sun, et al. ∙

∙ 11/20/2022

Contrastive Regularization for Multimodal Emotion Recognition Using Audio and Text

Speech emotion recognition is a challenge and an important step towards ...

0 Fan Qian, et al. ∙

∙ 04/08/2022

Exploring Transformer's potential on automatic piano transcription

Most recent research about automatic music transcription (AMT) uses conv...

0 Longshen Ou, et al. ∙

∙ 11/04/2020

Can We Trust Deep Speech Prior?

Recently, speech enhancement (SE) based on deep speech prior has attract...

0 Ying Shi, et al. ∙

∙ 09/07/2020

Toward the pre-cocktail party problem with TasTas+

Deep neural network with dual-path bi-directional long short-term memory...

0 Anyan Shi, et al. ∙

∙ 08/06/2020

Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss

Deep neural network with dual-path bi-directional long short-term memory...

0 Ziqiang Shi, et al. ∙

∙ 01/23/2020

La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention

Deep neural network with dual-path bi-directional long short-term memory...

0 Ziqiang Shi, et al. ∙

∙ 04/17/2019

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

Recently, data-driven based Automatic Speech Recognition (ASR) systems h...

0 Jiabin Xue, et al. ∙

∙ 04/17/2019

Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition

It is an effective way that improves the performance of the existing Aut...

0 Jiabin Xue, et al. ∙

∙ 04/10/2019

A Compact and Discriminative Feature Based on Auditory Summary Statistics for Acoustic Scene Classification

One of the biggest challenges of acoustic scene classification (ASC) is ...

0 Hongwei Song, et al. ∙

∙ 04/10/2019

Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events

In this paper, we propose a new strategy for acoustic scene classificati...

0 Hongwei Song, et al. ∙

∙ 02/26/2019

Acoustic scene classification using multi-layer temporal pooling based on convolutional neural network

The temporal dynamics and the discriminative information in the audio si...

0 Liwen Zhang, et al. ∙

∙ 02/12/2019

FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks

Deep dilated temporal convolutional networks (TCN) have been proved to b...

0 Ziqiang Shi, et al. ∙

∙ 02/02/2019

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

Deep gated convolutional networks have been proved to be very effective ...

0 Ziqiang Shi, et al. ∙

∙ 02/02/2019

Is CQT more suitable for monaural speech separation than STFT? an empirical study

Short-time Fourier transform (STFT) is used as the front end of many pop...

0 Ziqiang Shi, et al. ∙

∙ 10/22/2018

Investigation of Monaural Front-End Processing for Robust ASR without Retraining or Joint-Training

In recent years, monaural speech separation has been formulated as a sup...

0 Zhihao Du, et al. ∙

∙ 10/22/2018

Investigation of Independent Monaural Front-End Processing for Robust ASR without Retraining and Joint-Training

In recent years, monaural speech separation has been formulated as a sup...

0 Zhihao Du, et al. ∙

∙ 07/23/2012

Guarantees of Augmented Trace Norm Models in Tensor Recovery

This paper studies the recovery guarantees of the models of minimizing X...

0 Ziqiang Shi, et al. ∙

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