World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11377
World Ranking
4580
National Ranking
613

Overview

Helen Meng is affiliated with the Chinese University of Hong Kong in China and has contributed extensively to the fields of computer science, particularly focusing on artificial intelligence and signal processing. Their research intersects with several subfields, including computer vision and pattern recognition, physiology, and experimental and cognitive psychology.

Their work spans multiple key topics such as:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Voice and Speech Disorders

Helen Meng has published numerous papers, including recent notable works such as:

  • "MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification," 2022, Interspeech 2022
  • "Recent Progress in the CUHK Dysarthric Speech Recognition System," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt," 2024, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion," 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

The scientist frequently collaborates with other researchers, including Xunying Liu, Xixin Wu, Zhiyong Wu, Mengzhe Geng, and Shoukang Hu, reflecting strong collaborative ties in the field.

Helen Meng's research has been published predominantly in venues such as:

  • arXiv (Cornell University)
  • Interspeech 2022
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Annals of the Rheumatic Diseases

The overall scholarly output of Helen Meng reflects a focused investment in advancing computational techniques for speech and audio analysis through multiple perspectives, combining signal processing methods with artificial intelligence to address challenges in voice conversion, speech recognition for impaired speech, and expressive text-to-speech modeling.

Best Publications

  • Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings

    Pengfei Liu;Shafiq Joty;Helen Meng

  • A form-based dialogue manager for spoken language applications

    D. Goddeau;H. Meng;J. Polifroni;S. Seneff

  • WHEELS: a conversational system in the automobile classifieds domain

    H. Meng;S. Busayapongchai;J. Giass;D. Goddeau

  • Phonetic posteriorgrams for many-to-one voice conversion without parallel data training

    Lifa Sun;Kun Li;Hao Wang;Shiyin Kang

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends

    Zhen-Hua Ling;Shi-Yin Kang;Heiga Zen;Andrew Senior

  • Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks

    Lifa Sun;Shiyin Kang;Kun Li;Helen Meng

  • From interface to content: translingual access and delivery of on-line information.

    Victor W. Zue;Stephanie Seneff;James R. Glass;I. Lee Hetherington

  • Generating phonetic cognates to handle named entities in English-Chinese cross-language spoken document retrieval

    H.M. Meng;Wai-Kit Lo;Berlin Chen;K. Tang

  • VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

    Unknown

  • Replay and Synthetic Speech Detection with Res2Net Architecture

    Xu Li;Na Li;Chao Weng;Xunying Liu

  • Mispronunciation Detection and Diagnosis in L2 English Speech Using Multidistribution Deep Neural Networks

    Kun Li;Xiaojun Qian;Helen Meng

  • Spoken language resources for Cantonese speech processing

    Tan Lee;W. K. Lo;P. C. Ching;Helen Meng

  • Multi-distribution deep belief network for speech synthesis

    Shiyin Kang;Xiaojun Qian;Helen Meng

  • Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

    Jia Li;Yu Rong;Hong Cheng;Helen Meng

  • Implementation of an extended recognition network for mispronunciation detection and diagnosis in computer-assisted pronunciation training.

    Alissa M. Harrison;Wai-Kit Lo;Xiaojun Qian;Helen Meng

  • Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment

    Maxine Eskenazi;Gina-Anne Levow;Helen Meng;Gabriel Parent

  • InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

    Unknown

  • Speech Emotion Recognition Using Capsule Networks

    Xixin Wu;Songxiang Liu;Yuewen Cao;Xu Li

  • Multi-level fusion of audio and visual features for speaker identification

    Zhiyong Wu;Lianhong Cai;Helen Meng

  • The use of belief networks for mixed-initiative dialog modeling

    H.M. Meng;C. Wai;R. Pieraccini

  • A system for spoken query information retrieval on mobile devices

    E. Chang;F. Seide;H.M. Meng;Zhuoran Chen

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation

    Zhen-Hua Ling;Shi-yin Kang;Heiga Zen;Andrew Senior

Frequent Co-Authors

Dong Yu
Dong Yu Tencent (China)
Wai Lam
Wai Lam Chinese University of Hong Kong
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Hung-yi Lee
Hung-yi Lee National Taiwan University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Zhifeng Li
Zhifeng Li Tencent (China)
Hong Cheng
Hong Cheng Chinese University of Hong Kong
Roberto Pieraccini
Roberto Pieraccini Google (United States)

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