591 citations
- Chang Gung Memorial HospitalTW10 papers
- Shenzhen Technology UniversityCN9 papers
- National Institutes of Health Clinical CenterUS8 papers
- Linkou Chang Gung Memorial HospitalTW6 papers
- National Institutes of HealthUS6 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- Huazhong University of Science and TechnologyCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Beijing Institute of TechnologyCN4 papers
- Alibaba Group (China)CN3 papers
- Johns Hopkins UniversityUS3 papers
- New York Life Insurance Company (United States)US3 papers
5 papers · 1 filter
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +1
End-to-end speech recognition systems usually require huge amounts of labeling resource, while annotating the speech data is complicated and expensive. Active learning is the solut…
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +1
Self-attention models have been successfully applied in end-to-end speech recognition systems, which greatly improve the performance of recognition accuracy. However, such attentio…
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
Zhen Zeng, Jianzong Wang, Ning Cheng +1
In this paper, we propose a novel conditional convolution network, named location-variable convolution, to model the dependencies of the waveform sequence. Different from the use o…
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
Zhen Zeng, Jianzong Wang, Ning Cheng +2
Targeting at both high efficiency and performance, we propose AlignTTS to predict the mel-spectrum in parallel. AlignTTS is based on a Feed-Forward Transformer which generates mel-…
Audio-Based Music Classification with DenseNet And Data Augmentation
Wenhao Bian, Jie Wang, Bojin Zhuang +3
In recent years, deep learning technique has received intense attention owing to its great success in image recognition. A tendency of adaption of deep learning in various informat…