Search Results for author: Jeremy H. M. Wong

Found 4 papers, 0 papers with code

Multiple output samples per input in a single-output Gaussian process

no code implementations5 Jun 2023 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.

Diarisation using location tracking with agglomerative clustering

no code implementations22 Sep 2021 Jeremy H. M. Wong, Igor Abramovski, Xiong Xiao, Yifan Gong

Previous works have shown that spatial location information can be complementary to speaker embeddings for a speaker diarisation task.

Clustering

High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model

no code implementations17 Mar 2020 Jinyu Li, Rui Zhao, Eric Sun, Jeremy H. M. Wong, Amit Das, Zhong Meng, Yifan Gong

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 followed by a sequence discriminative training criterion, we argue that such conventional hybrid models can still be significantly improved.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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