Fenglong Xie

671 total citations · 1 hit paper
20 papers, 433 citations indexed

About

Fenglong Xie is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fenglong Xie has authored 20 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fenglong Xie's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (8 papers). Fenglong Xie is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (8 papers). Fenglong Xie collaborates with scholars based in China and Hong Kong. Fenglong Xie's co-authors include Frank K. Soong, Yao Qian, Yuchen Fan, Haifeng Li, Haifeng Li, Haifeng Li, Xixin Wu, Li Lü, Yibin Zheng and Helen Meng and has published in prestigious journals such as Speech Communication, Applied Acoustics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Fenglong Xie

19 papers receiving 367 citations

Hit Papers

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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.

TTS synthesis with bidirectional LSTM based recurrent neural networks

2014 286 citations Yuchen Fan, Yao Qian et al. profile →

Peers

Countries citing papers authored by Fenglong Xie

Since Specialization

Citations

This map shows the geographic impact of Fenglong Xie'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 Fenglong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenglong Xie more than expected).

Fields of papers citing papers by Fenglong Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fenglong Xie. 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 Fenglong Xie. The network helps show where Fenglong Xie may publish in the future.

Co-authorship network of co-authors of Fenglong Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglong Xie. A scholar is included among the top collaborators of Fenglong Xie 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 Fenglong Xie. Fenglong Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Speaking from Coarse to Fine: Improving Neural Codec Language Model via Multi-Scale Speech Coding and Generation 2025 ·(unknown), Fenglong Xie, (unknown), Xixin Wu, Helen Meng	1
2	Tri-stage training with language-specific encoder and bilingual acoustic learner for code-switching speech recognition 2024 ·Applied Acoustics ·Xuefei Wang, Yuan Jin, Fenglong Xie, Yanhua Long	1
3	QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning 2024 ·IEEE Transactions on Audio Speech and Language Processing ·(unknown), Fenglong Xie, Jiawen Kang, (unknown), Xixin Wu, Helen Meng	1
4	SoCodec: A Semantic-Ordered Multi-Stream Speech Codec For Efficient Language Model Based Text-to-Speech Synthesis 2024 ·(unknown), Fenglong Xie, (unknown), Dongchao Yang, (unknown), Xixin Wu, Helen Meng	2
5	Addressing Index Collapse of Large-Codebook Speech Tokenizer With Dual-Decoding Product-Quantized Variational Auto-Encoder 2024 ·(unknown), Fenglong Xie, (unknown), (unknown), Xixin Wu, Helen Meng	3
6	FireRedTTS: The Xiaohongshu Speech Synthesis System for Blizzard Challenge 2023 2023 ·Kun Xie, (unknown), Fenglong Xie	1
7	MSMC-TTS: Multi-Stage Multi-Codebook VQ-VAE Based Neural TTS 2023 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Fenglong Xie, Xixin Wu, Frank K. Soong, Helen Meng	8
8	A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS 2022 ·Interspeech 2022 ·(unknown), Fenglong Xie, Frank K. Soong, Xixin Wu, Helen Meng	6
9	Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS 2021 ·(unknown), (unknown), (unknown), Fenglong Xie, (unknown), Li Lu	2
10	Triple M: A Practical Text-to-Speech Synthesis System with Multi-Guidance Attention and Multi-Band Multi-Time LPCNet 2021 ·(unknown), Fenglong Xie, (unknown), (unknown), Li Lü	1
11	A New High Quality Trajectory Tiling Based Hybrid TTS In Real Time 2021 ·Fenglong Xie, (unknown), (unknown), Li Lü, Frank K. Soong	2
12	An Improved Frame-Unit-Selection Based Voice Conversion System Without Parallel Training Data 2020 ·Fenglong Xie, (unknown), Bo Liu, Yibin Zheng, (unknown), Li Lü, Frank K. Soong	1
13	Improving End-to-End Speech Synthesis with Local Recurrent Neural Network Enhanced Transformer 2020 ·Yibin Zheng, (unknown), Fenglong Xie, Li Lü	12
14	Voice conversion with SI-DNN and KL divergence based mapping without parallel training data 2018 ·Speech Communication ·Fenglong Xie, Frank K. Soong, Haifeng Li	7
15	A KL divergence and DNN approach to cross-lingual TTS 2016 ·Fenglong Xie, Frank K. Soong, Haifeng Li	14
16	A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences 2016 ·Fenglong Xie, Frank K. Soong, Haifeng Li	48
17	TTS synthesis with bidirectional LSTM based recurrent neural networks breakdown → 2014 ·Yuchen Fan, Yao Qian, Fenglong Xie, Frank K. Soong	286
18	Sequence error (SE) minimization training of neural network for voice conversion 2014 ·Fenglong Xie, Yao Qian, Yuchen Fan, Frank K. Soong, Haifeng Li	31
19	Pitch transformation in neural network based voice conversion 2014 ·Fenglong Xie, Yao Qian, Frank K. Soong, Haifeng Li	6
20	Cross validation and Minimum Generation Error for improved model clustering in HMM-based TTS 2012 ·Fenglong Xie, Yi-Jian Wu, Frank K. Soong	0

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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