2 citations · 5 across the 11 of their papers we have counts for
11 papers
Speech-Driven End-to-End Language Discrimination towards Chinese Dialects
Fan Xu, Jian Luo, MingWen Wang +1
Language discrimination among similar languages, varieties, and dialects is a challenging natural language processing task. The traditional text-driven focus leads to poor results.…
Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy
Xulong Zhang, Haobin Tang, Jianzong Wang +3
Because of predicting all the target tokens in parallel, the non-autoregressive models greatly improve the decoding efficiency of speech recognition compared with traditional autor…
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation
Jian Luo, Jianzong Wang, Ning Cheng +3
Time-domain Transformer neural networks have proven their superiority in speech separation tasks. However, these models usually have a large number of network parameters, thus ofte…
Speech Augmentation Based Unsupervised Learning for Keyword Spotting
Jian Luo, Jianzong Wang, Ning Cheng +2
In this paper, we investigated a speech augmentation based unsupervised learning approach for keyword spotting (KWS) task. KWS is a useful speech application, yet also heavily depe…
Adaptive Activation Network For Low Resource Multilingual Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +2
Low resource automatic speech recognition (ASR) is a useful but thorny task, since deep learning ASR models usually need huge amounts of training data. The existing models mostly e…
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…
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation
Jian Luo, Jianzong Wang, Ning Cheng +1
Predicting the altered acoustic frames is an effective way of self-supervised learning for speech representation. However, it is challenging to prevent the pretrained model from ov…
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…
Multi-QuartzNet: Multi-Resolution Convolution for Speech Recognition with Multi-Layer Feature Fusion
Jian Luo, Jianzong Wang, Ning Cheng +2
In this paper, we propose an end-to-end speech recognition network based on Nvidia's previous QuartzNet model. We try to promote the model performance, and design three components:…
End-to-end Silent Speech Recognition with Acoustic Sensing
Jian Luo, Jianzong Wang, Ning Cheng +2
Silent speech interfaces (SSI) has been an exciting area of recent interest. In this paper, we present a non-invasive silent speech interface that uses inaudible acoustic signals t…
MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection
Zhenpeng Zheng, Jianzong Wang, Ning Cheng +2
Voice activity detection (VAD) makes a distinction between speech and non-speech and its performance is of crucial importance for speech based services. Recently, deep neural netwo…