Da-Rong Liu

852 citations

9 papers · 508 indexed · 1 hit paper · h-index 7

Co-authors: Hung-yi Lee Andy T. Liu Xuankai Chang Shu-Wen Yang Cheng-I Lai Guan-Ting Lin Shuyan Dong Jiatong Shi
Topics: Speech Recognition and Synthesis (9 papers)Speech and Audio Processing (7 papers)Music and Audio Processing (6 papers)
Cited by: Signal Processing Artificial Intelligence Experimental and Cognitive Psychology
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing
Partner nations: Taiwan United Kingdom United States

In The Last Decade

Da-Rong Liu

9 papers receiving 485 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SUPERB: Speech Processing Universal PERformance Benchmark

2021 409 citations Shu-Wen Yang, Po-Han Chi et al. profile →

Peers

Countries citing papers authored by Da-Rong Liu

Since Specialization

Citations

This map shows the geographic impact of Da-Rong Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Da-Rong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Rong Liu more than expected).

Fields of papers citing papers by Da-Rong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Rong Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Da-Rong Liu. The network helps show where Da-Rong Liu may publish in the future.

Co-authorship network of co-authors of Da-Rong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Rong Liu. A scholar is included among the top collaborators of Da-Rong Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da-Rong Liu. Da-Rong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Parallel Synthesis for Autoregressive Speech Generation 2023 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown),Da-Rong Liu,Andy T. Liu,Hung-yi Lee	2
2	Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech 2022 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown),(unknown),Da-Rong Liu,(unknown),Hung-yi Lee	26
3	SUPERB: Speech Processing Universal PERformance Benchmarkbreakdown → 2021 ·Shu-Wen Yang,Po-Han Chi,Yung-Sung Chuang,Cheng-I Lai,Kushal Lakhotia,Yist Y. Lin,Andy T. Liu,Jiatong Shi,Xuankai Chang,Guan-Ting Lin,(unknown),Wei-Cheng Tseng,(unknown),Da-Rong Liu,Zili Huang,Shuyan Dong,Shang-Wen Li,Shinji Watanabe,Abdelrahman Mohamed,Hung-yi Lee	409
4	Learning Phone Recognition From Unpaired Audio and Phone Sequences Based on Generative Adversarial Network 2021 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·Da-Rong Liu,Po‐Chun Hsu,Yi‐Chen Chen,(unknown),(unknown),(unknown),Hung-yi Lee	5
5	Stabilizing Label Assignment for Speech Separation by Self-Supervised Pre-Training 2021 ·(unknown),(unknown),Da-Rong Liu,Yi‐Chen Chen,(unknown),Hung-yi Lee	7
6	Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model 2020 ·Da-Rong Liu,Chunxi Liu,Frank Zhang,Gabriel Synnaeve,Yatharth Saraf,Geoffrey Zweig	8
7	Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models 2019 ·Kuan‐Yu Chen,(unknown),Da-Rong Liu,Hung-yi Lee,Lin-shan Lee	15
8	Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings 2018 ·Da-Rong Liu,Kuan‐Yu Chen,Hung-yi Lee,Lin-shan Lee	22
9	Improving Unsupervised Style Transfer in end-to-end Speech Synthesis with end-to-end Speech Recognition 2018 ·Da-Rong Liu,Chi-Yu Yang,(unknown),Hung-yi Lee	14

About Da-Rong Liu

Da-Rong Liu is a scholar working on Signal Processing, Artificial Intelligence and Infectious Diseases, having authored 9 papers that have together received 508 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (300 citations), Artificial Intelligence (440 citations) and Experimental and Cognitive Psychology (61 citations). Da-Rong Liu has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Hung-yi Lee, Andy T. Liu, Xuankai Chang, Shu-Wen Yang, Cheng-I Lai, Guan-Ting Lin, Shuyan Dong, Jiatong Shi, Shinji Watanabe and Po-Han Chi. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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