10 citations · 33 across the 11 of their papers we have counts for
11 papers
Learning to Adapt to Low-Resource Paraphrase Generation
Zhigen Li, Yanmeng Wang, Rizhao Fan +3
Paraphrase generation is a longstanding NLP task and achieves great success with the aid of large corpora. However, transferring a paraphrasing model to another domain encounters t…
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Yanmeng Wang, Jun Bai, Ye Wang +5
Dual-Encoders is a promising mechanism for answer retrieval in question answering (QA) systems. Currently most conventional Dual-Encoders learn the semantic representations of ques…
Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition
Nick J. C. Wang, Zongfeng Quan, Shaojun Wang +1
The Conformer model is an excellent architecture for speech recognition modeling that effectively utilizes the hybrid losses of connectionist temporal classification (CTC) and atte…
A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding
Nick J. C. Wang, Shaojun Wang, Jing Xiao
SLU combines ASR and NLU capabilities to accomplish speech-to-intent understanding. In this paper, we compare different ways to combine ASR and NLU, in particular using a single Co…
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
Chenfeng Miao, Shuang Liang, Zhencheng Liu +4
In this work, we address the Text-to-Speech (TTS) task by proposing a non-autoregressive architecture called EfficientTTS. Unlike the dominant non-autoregressive TTS models, which…
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
Zan Shen, Jiang Qian, Bojin Zhuang +2
One-Shot methods have evolved into one of the most popular methods in Neural Architecture Search (NAS) due to weight sharing and single training of a supernet. However, existing me…