research
∙
11/04/2020
Can We Trust Deep Speech Prior?
Recently, speech enhancement (SE) based on deep speech prior has attract...
share
research
∙
06/04/2020
AP20-OLR Challenge: Three Tasks and Their Baselines
This paper introduces the fifth oriental language recognition (OLR) chal...
research
∙
07/16/2019
AP19-OLR Challenge: Three Tasks and Their Baselines
This paper introduces the fourth oriental language recognition (OLR) cha...
research
∙
11/08/2018
Gaussian-Constrained training for speaker verification
Neural models, in particular the d-vector and x-vector architectures, ha...
research
∙
11/08/2018
Phonetic-attention scoring for deep speaker features in speaker verification
Recent studies have shown that frame-level deep speaker features can be ...
research
∙
06/02/2018
AP18-OLR Challenge: Three Tasks and Their Baselines
The third oriental language recognition (OLR) challenge AP18-OLR is intr...
research
∙
02/27/2018
Deep factorization for speech signal
Various informative factors mixed in speech signals, leading to great di...
research
∙
11/15/2017
Human and Machine Speaker Recognition Based on Short Trivial Events
Trivial events are ubiquitous in human to human conversations, e.g., cou...
research
∙
10/31/2017
Full-info Training for Deep Speaker Feature Learning
In recent studies, it has shown that speaker patterns can be learned fro...
research
∙
06/28/2017
AP17-OLR Challenge: Data, Plan, and Baseline
We present the data profile and the evaluation plan of the second orient...
research
∙
06/22/2017
Deep Speaker Verification: Do We Need End to End?
End-to-end learning treats the entire system as a whole adaptable black ...
research
∙
05/10/2017
Deep Speaker Feature Learning for Text-independent Speaker Verification
Recently deep neural networks (DNNs) have been used to learn speaker fea...
research
∙
05/09/2017
Phone-aware Neural Language Identification
Pure acoustic neural models, particularly the LSTM-RNN model, have shown...
research
∙
05/09/2017
Phonetic Temporal Neural Model for Language Identification
Deep neural models, particularly the LSTM-RNN model, have shown great po...
research
∙
09/28/2016
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition
Recurrent neural networks (RNNs) have shown clear superiority in sequenc...
research
∙
09/27/2016
Multi-task Recurrent Model for True Multilingual Speech Recognition
Research on multilingual speech recognition remains attractive yet chall...
research
∙
03/31/2016
Multi-task Recurrent Model for Speech and Speaker Recognition
Although highly correlated, speech and speaker recognition have been reg...
research
∙
06/07/2015
Knowledge Transfer Pre-training
Pre-training is crucial for learning deep neural networks. Most of exist...
research
∙
05/18/2015