9 citations · 22 across the 8 of their papers we have counts for
8 papers
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition
Guodong Ma, Pengfei Hu, Jian Kang +2
In Uyghur speech, consonant and vowel reduction are often encountered, especially in spontaneous speech with high speech rate, which will cause a degradation of speech recognition…
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition
Guodong Ma, Pengfei Hu, Nurmemet Yolwas +2
Consonant and vowel reduction are often encountered in speech, which might cause performance degradation in automatic speech recognition (ASR). Our recently proposed learning strat…
VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge
Yougen Yuan, Zhiqiang Lv, Shen Huang +1
Keyword wakeup technology has always been a research hotspot in speech processing, but many related works were done on different datasets. We organized a Chinese long-short video k…
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
Chen Xu, Bojie Hu, Yanyang Li +5
Encoder pre-training is promising in end-to-end Speech Translation (ST), given the fact that speech-to-translation data is scarce. But ST encoders are not simple instances of Autom…
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Chen Xu, Bojie Hu, Yufan Jiang +6
Large amounts of data has made neural machine translation (NMT) a big success in recent years. But it is still a challenge if we train these models on small-scale corpora. In this…
Code-switching pre-training for neural machine translation
Zhen Yang, Bojie Hu, Ambyera Han +2
This paper proposes a new pre-training method, called Code-Switching Pre-training (CSP for short) for Neural Machine Translation (NMT). Unlike traditional pre-training method which…
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Pei Xu, Shan Huang, Hongzhen Wang +3
Chinese keyword spotting is a challenging task as there is no visual blank for Chinese words. Different from English words which are split naturally by visual blanks, Chinese words…
Utterance-level end-to-end language identification using attention-based CNN-BLSTM
Weicheng Cai, Danwei Cai, Shen Huang +1
In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM). The mo…