D-Index & Metrics Best Publications

Helen Meng

Chinese University of Hong Kong
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 36 Citations 6,993 377 World Ranking 7137 National Ranking 709

Overview

What is she best known for?

The fields of study Helen Meng is best known for:

Statistics
Speech recognition
Computer graphics (images)

Her study ties her expertise on Feature (linguistics) together with the subject of Linguistics. Her Feature (linguistics) study often links to related topics such as Linguistics. Helen Meng brings together Speech recognition and Speech synthesis to produce work in her papers. In her articles, she combines various disciplines, including Speech synthesis and Speech processing. In her study, she carries out multidisciplinary Speech processing and Speech recognition research. Her work on Artificial intelligence is being expanded to include thematically relevant topics such as Pattern recognition (psychology). Her research on Pattern recognition (psychology) frequently links to adjacent areas such as Artificial intelligence. Helen Meng integrates Computer vision and Smoothing in her research. In her articles, Helen Meng combines various disciplines, including Smoothing and Computer vision.

Her most cited work include:

Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends (188 citations)
Phoneme-level articulatory animation in pronunciation training (44 citations)

What are the main themes of her work throughout her whole career to date

Helen Meng is involved in relevant fields of research such as Set (abstract data type) and Expression (computer science) in the realm of Programming language. Her research is interdisciplinary, bridging the disciplines of Programming language and Set (abstract data type). Her research on Quantum mechanics often connects related areas such as Event (particle physics) and Term (time). Many of her studies involve connections with topics such as Quantum mechanics and Term (time). Her Artificial intelligence study frequently draws connections to other fields, such as Pattern recognition (psychology). Her Pattern recognition (psychology) study frequently draws connections to adjacent fields such as Artificial intelligence. She performs integrative study on Speech recognition and Deep learning in her works. She integrates Deep learning with Acoustic model in her study. In her research, Helen Meng performs multidisciplinary study on Acoustic model and Speech recognition.

Helen Meng most often published in these fields:

Artificial intelligence (90.00%)
Speech recognition (80.00%)
Linguistics (70.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A form-based dialogue manager for spoken language applications

D. Goddeau;H. Meng;J. Polifroni;S. Seneff.
international conference on spoken language processing (1996)

435 Citations

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

Pengfei Liu;Shafiq Joty;Helen Meng.
empirical methods in natural language processing (2015)

359 Citations

WHEELS: a conversational system in the automobile classifieds domain

H. Meng;S. Busayapongchai;J. Giass;D. Goddeau.
international conference on spoken language processing (1996)

320 Citations

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

Victor W. Zue;Stephanie Seneff;James R. Glass;I. Lee Hetherington.
conference of the international speech communication association (1997)

288 Citations

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.
IEEE Signal Processing Magazine (2015)

267 Citations

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

Lifa Sun;Shiyin Kang;Kun Li;Helen Meng.
international conference on acoustics, speech, and signal processing (2015)

261 Citations

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

Lifa Sun;Kun Li;Hao Wang;Shiyin Kang.
international conference on multimedia and expo (2016)

218 Citations

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.
ieee automatic speech recognition and understanding workshop (2001)

213 Citations

Multi-distribution deep belief network for speech synthesis

Shiyin Kang;Xiaojun Qian;Helen Meng.
international conference on acoustics, speech, and signal processing (2013)

129 Citations

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

Kun Li;Xiaojun Qian;Helen Meng.
IEEE Transactions on Audio, Speech, and Language Processing (2017)

117 Citations

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Frequent Co-Authors

External Links

Personal Website for Helen Meng