research
∙
05/28/2023
Spot keywords from very noisy and mixed speech
Most existing keyword spotting research focuses on conditions with sligh...
share
research
∙
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...
research
∙
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...
research
∙
11/20/2022
Contrastive Regularization for Multimodal Emotion Recognition Using Audio and Text
Speech emotion recognition is a challenge and an important step towards ...
research
∙
04/08/2022
Exploring Transformer's potential on automatic piano transcription
Most recent research about automatic music transcription (AMT) uses conv...
research
∙
11/04/2020
Can We Trust Deep Speech Prior?
Recently, speech enhancement (SE) based on deep speech prior has attract...
research
∙
09/07/2020
Toward the pre-cocktail party problem with TasTas+
Deep neural network with dual-path bi-directional long short-term memory...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
04/10/2019
Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
In this paper, we propose a new strategy for acoustic scene classificati...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
07/23/2012