Search Results for author: Qianqian Dong

Found 17 papers, 11 papers with code

Speech Translation with Large Language Models: An Industrial Practice

no code implementations21 Dec 2023 Zhichao Huang, Rong Ye, Tom Ko, Qianqian Dong, Shanbo Cheng, Mingxuan Wang, Hang Li

Given the great success of large language models (LLMs) across various tasks, in this paper, we introduce LLM-ST, a novel and effective speech translation model constructed upon a pre-trained LLM.

Language Modelling Large Language Model +1

Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech Recognition

1 code implementation21 Sep 2023 Chen Xu, Xiaoqian Liu, Erfeng He, Yuhao Zhang, Qianqian Dong, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang

In this study, we present synchronous bilingual Connectionist Temporal Classification (CTC), an innovative framework that leverages dual CTC to bridge the gaps of both modality and language in the speech translation (ST) task.

speech-recognition Speech Recognition +1

Recent Advances in Direct Speech-to-text Translation

no code implementations20 Jun 2023 Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu

Recently, speech-to-text translation has attracted more and more attention and many studies have emerged rapidly.

Data Augmentation Knowledge Distillation +2

MOSPC: MOS Prediction Based on Pairwise Comparison

no code implementations18 Jun 2023 Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang

And our framework also surpasses the strong baseline in ranking accuracy on each fine-grained segment.

CTC-based Non-autoregressive Speech Translation

1 code implementation27 May 2023 Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu

Combining end-to-end speech translation (ST) and non-autoregressive (NAR) generation is promising in language and speech processing for their advantages of less error propagation and low latency.


Learning When to Translate for Streaming Speech

1 code implementation ACL 2022 Qianqian Dong, Yaoming Zhu, Mingxuan Wang, Lei LI

Given a usually long speech sequence, we develop an efficient monotonic segmentation module inside an encoder-decoder model to accumulate acoustic information incrementally and detect proper speech unit boundaries for the input in speech translation task.

Sentence Speech-to-Text Translation +1

The Volctrans Neural Speech Translation System for IWSLT 2021

1 code implementation ACL (IWSLT) 2021 Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei LI

For offline speech translation, our best end-to-end model achieves 8. 1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution.


Consecutive Decoding for Speech-to-text Translation

1 code implementation21 Sep 2020 Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei LI

The key idea is to generate source transcript and target translation text with a single decoder.

Machine Translation speech-recognition +3

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

2 code implementations3 Mar 2020 Liang Xu, Xuanwei Zhang, Qianqian Dong

In this paper, we introduce the Chinese corpus from CLUE organization, CLUECorpus2020, a large-scale corpus that can be used directly for self-supervised learning such as pre-training of a language model, or language generation.

8k Language Modelling +2

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

3 code implementations13 Jan 2020 Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang

In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese.

Chinese Named Entity Recognition named-entity-recognition +2

Semi-Supervised Disfluency Detection

no code implementations COLING 2018 Feng Wang, Wei Chen, Zhen Yang, Qianqian Dong, Shuang Xu, Bo Xu

While the disfluency detection has achieved notable success in the past years, it still severely suffers from the data scarcity.

Generative Adversarial Network Machine Translation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.