2014 - IEEE Fellow For leadership in multilingual speaker and language recognition
His primary areas of study are Artificial intelligence, Speech recognition, Natural language processing, Speaker recognition and Pattern recognition. His Artificial intelligence study frequently links to adjacent areas such as Computer vision. Speech recognition and Normalization are commonly linked in his work.
His study on Natural language processing is mostly dedicated to connecting different topics, such as Word. His research in Speaker recognition intersects with topics in Speech synthesis, Covariance, Spoofing attack and Voice activity detection. His work deals with themes such as Spike train, Signal processing, Robustness and Spectrogram, which intersect with Pattern recognition.
Haizhou Li mainly investigates Speech recognition, Artificial intelligence, Natural language processing, Pattern recognition and NIST. His work in Speech recognition is not limited to one particular discipline; it also encompasses Feature extraction. His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning.
His research links Task with Natural language processing. His Pattern recognition research incorporates elements of Feature and Spiking neural network. NIST is frequently linked to Discriminative model in his study.
Haizhou Li mainly focuses on Speech recognition, Artificial intelligence, Artificial neural network, Spiking neural network and Prosody. His Speech recognition research includes themes of Embedding, Singing and Feature extraction. The study incorporates disciplines such as Natural language processing, Machine learning and Pattern recognition in addition to Artificial intelligence.
His work in Spiking neural network addresses subjects such as Backpropagation, which are connected to disciplines such as Spike. The Prosody study combines topics in areas such as Identity, Identity, State and Speech synthesis. His work focuses on many connections between Speaker verification and other disciplines, such as Spoofing attack, that overlap with his field of interest in Replay attack and Convolutional neural network.
His main research concerns Speech recognition, Artificial intelligence, Spiking neural network, Prosody and Artificial neural network. His Speech recognition study combines topics in areas such as Embedding, Feature extraction and Identity. His Artificial intelligence research incorporates elements of Machine learning, Spoofing attack and Pattern recognition.
His study looks at the relationship between Pattern recognition and fields such as MNIST database, as well as how they intersect with chemical problems. His Spiking neural network research is multidisciplinary, incorporating elements of Event, Neuromorphic engineering, Filter bank and Learning rule. His Deep learning study incorporates themes from Speech enhancement and Utterance.
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.
An overview of text-independent speaker recognition: From features to supervectors
Tomi Kinnunen;Haizhou Li.
Speech Communication (2010)
Spoofing and countermeasures for speaker verification
Zhizheng Wu;Nicholas Evans;Tomi Kinnunen;Junichi Yamagishi.
Speech Communication (2015)
A Joint Source-Channel Model for Machine Transliteration
Haizhou Li;Min Zhang;Jian Su.
meeting of the association for computational linguistics (2004)
System for chinese tokenization and named entity recognition
Shuanhu Bai;Horng Jyh Paul Wu;Haizhou Li;Gareth Loudon.
(1999)
Text-dependent speaker verification: Classifiers, databases and RSR2015
Anthony Larcher;Kong Aik Lee;Bin Ma;Haizhou Li.
Speech Communication (2014)
A Vector Space Modeling Approach to Spoken Language Identification
Haizhou Li;Bin Ma;Chin-Hui Lee.
IEEE Transactions on Audio, Speech, and Language Processing (2007)
Spoken Language Recognition: From Fundamentals to Practice
Haizhou Li;Bin Ma;Kong Aik Lee.
Proceedings of the IEEE (2013)
IRIS: a Chat-oriented Dialogue System based on the Vector Space Model
Rafael E. Banchs;Haizhou Li.
meeting of the association for computational linguistics (2012)
Spectrogram Image Feature for Sound Event Classification in Mismatched Conditions
J Dennis;H D Tran;Haizhou Li.
IEEE Signal Processing Letters (2011)
Apparatus and method for speech utterance verification
Bin Ma;Haizhou Li;Minghui Dong.
(2006)
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