67 citations · 191 across the 39 of their papers we have counts for
6 papers · 1 filter
Multi-Variant Consistency based Self-supervised Learning for Robust Automatic Speech Recognition
Changfeng Gao, Gaofeng Cheng, Pengyuan Zhang
Automatic speech recognition (ASR) has shown rapid advances in recent years but still degrades significantly in far-field and noisy environments. The recent development of self-sup…
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR
Han Zhu, Li Wang, Jindong Wang +3
Self-supervised pre-training could effectively improve the performance of low-resource automatic speech recognition (ASR). However, existing self-supervised pre-training are task-a…
Adaptive Margin Circle Loss for Speaker Verification
Runqiu Xiao
Deep-Neural-Network (DNN) based speaker verification sys-tems use the angular softmax loss with margin penalties toenhance the intra-class compactness of speaker embeddings,which a…
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search
Yukun Liu, Ta Li, Pengyuan Zhang +1
Recently neural architecture search(NAS) has been successfully used in image classification, natural language processing, and automatic speech recognition(ASR) tasks for finding th…
DPT-FSNet: Dual-path Transformer Based Full-band and Sub-band Fusion Network for Speech Enhancement
Feng Dang, Hangting Chen, Pengyuan Zhang
Sub-band models have achieved promising results due to their ability to model local patterns in the spectrogram. Some studies further improve the performance by fusing sub-band and…
Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel Output
Hangting Chen, Yang Yi, Dang Feng +1
Time-domain audio separation network (TasNet) has achieved remarkable performance in blind source separation (BSS). Classic multi-channel speech processing framework employs signal…