Search Results for author: Dongwei Jiang

Found 8 papers, 3 papers with code

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic

no code implementations22 Feb 2024 Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Zhang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme

Contemporary language models enable new opportunities for structured reasoning with text, such as the construction and evaluation of intuitive, proof-like textual entailment trees without relying on brittle formal logic.

Formal Logic Knowledge Distillation +2

DiDiSpeech: A Large Scale Mandarin Speech Corpus

no code implementations19 Oct 2020 Tingwei Guo, Cheng Wen, Dongwei Jiang, Ne Luo, Ruixiong Zhang, Shuaijiang Zhao, Wubo Li, Cheng Gong, Wei Zou, Kun Han, Xiangang Li

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech.

Audio and Speech Processing

A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition

1 code implementation20 May 2020 Dongwei Jiang, Wubo Li, Ruixiong Zhang, Miao Cao, Ne Luo, Yang Han, Wei Zou, Xiangang Li

In this paper, we conduct a further study on MPC and focus on three important aspects: the effect of pre-training data speaking style, its extension on streaming model, and how to better transfer learned knowledge from pre-training stage to downstream tasks.

speech-recognition Speech Recognition +2

Towards End-to-End Code-Switching Speech Recognition

no code implementations31 Oct 2018 Ne Luo, Dongwei Jiang, Shuaijiang Zhao, Caixia Gong, Wei Zou, Xiangang Li

Code-switching speech recognition has attracted an increasing interest recently, but the need for expert linguistic knowledge has always been a big issue.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

A comparable study of modeling units for end-to-end Mandarin speech recognition

no code implementations10 May 2018 Wei Zou, Dongwei Jiang, Shuaijiang Zhao, Xiangang Li

We find that all types of modeling units can achieve approximate character error rate (CER) in CTC model and the performance of Chinese character attention model is better than syllable attention model.

speech-recognition Speech Recognition

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