2 citations · 2 across the 4 of their papers we have counts for
5 papers
Multiple output samples per input in a single-output Gaussian process
Jeremy H. M. Wong, Huayun Zhang, Nancy F. Chen
The standard Gaussian Process (GP) only considers a single output sample per input in the training set. Datasets for subjective tasks, such as spoken language assessment, may be an…
Diarisation using location tracking with agglomerative clustering
Jeremy H. M. Wong, Igor Abramovski, Xiong Xiao +1
Previous works have shown that spatial location information can be complementary to speaker embeddings for a speaker diarisation task. However, the models used often assume that sp…
Joint speaker diarisation and tracking in switching state-space model
Jeremy H. M. Wong, Yifan Gong
Speakers may move around while diarisation is being performed. When a microphone array is used, the instantaneous locations of where the sounds originated from can be estimated, an…
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model
Jinyu Li, Rui Zhao, Eric Sun +4
While the community keeps promoting end-to-end models over conventional hybrid models, which usually are long short-term memory (LSTM) models trained with a cross entropy criterion…
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription
Yu Wang, Xie Chen, Mark Gales +2
State-of-the-art English automatic speech recognition systems typically use phonetic rather than graphemic lexicons. Graphemic systems are known to perform less well for English as…