Jeremy Heng Meng Wong

Orcid: 0000-0003-3742-7510

According to our database1, Jeremy Heng Meng Wong authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Modelling Inter-Rater Uncertainty in Spoken Language Assessment.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Noise robust distillation of self-supervised speech models via correlation metrics.
CoRR, 2023

Multiple output samples for each input in a single-output Gaussian process.
CoRR, 2023

Variational Gaussian Process Data Uncertainty.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Joint Speaker Diarisation and Tracking in Switching State-Space Model.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Diarisation Using Location Tracking with Agglomerative Clustering.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Variations of multi-task learning for spoken language assessment.
Proceedings of the Interspeech 2022, 2022

2021
Hidden Markov Model Diarisation with Speaker Location Information.
Proceedings of the IEEE International Conference on Acoustics, 2021

Ensemble Combination between Different Time Segmentations.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Combination of End-to-End and Hybrid Models for Speech Recognition.
Proceedings of the Interspeech 2020, 2020

High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Ensemble generation and compression for speech recognition
PhD thesis, 2019

General Sequence Teacher-Student Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Learning Between Different Teacher and Student Models in ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Student-Teacher Training with Diverse Decision Tree Ensembles.
Proceedings of the Interspeech 2017, 2017

Multi-task ensembles with teacher-student training.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Sequence Student-Teacher Training of Deep Neural Networks.
Proceedings of the Interspeech 2016, 2016


  Loading...