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20192022
most citedEfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

7 citations · 19 across the 8 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2022

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…

cs.CL20194 cited

An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation

Liming Deng, Jie Wang, Hangming Liang +5

Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, which can hardly be straightfor…

cs.CL20193 cited

A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics

Xu Lu, Jie Wang, Bojin Zhuang +2

This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody. Most previously reported lyrics generation models fail to include…

cs.CL20191 cited

Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines

Haoshen Fan, Jie Wang, Bojin Zhuang +2

As one of the quintessence of Chinese traditional culture, couplet compromises two syntactically symmetric clauses equal in length, namely, an antecedent and subsequent clause. Mor…

cs.CL20191 cited

A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation

Haoshen Fan, Jie Wang, Bojin Zhuang +2

In this paper, we comprehensively study on context-aware generation of Chinese song lyrics. Conventional text generative models generate a sequence or sentence word by word, failin…