Tien-Hong Lo

According to our database1, Tien-Hong Lo authored at least 31 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Zero-Shot Text-to-Speech as Golden Speech Generator: A Systematic Framework and its Applicability in Automatic Pronunciation Assessment.
CoRR, 2024

Automated Speaking Assessment of Conversation Tests with Novel Graph-based Modeling on Spoken Response Coherence.
CoRR, 2024

An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Effective Neural Modeling Leveraging Readability Features for Automated Essay Scoring.
Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

Graph-Enhanced Transformer Architecture with Novel Use of CEFR Vocabulary Profile and Filled Pauses in Automated Speaking Assessment.
Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment.
CoRR, 2022

A Preliminary Study on Automated Speaking Assessment of English as a Second Language (ESL) Students.
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, 2022

2021
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning.
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021

Cross-sentence Neural Language Models for Conversational Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020.
CoRR, 2020

Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection.
CoRR, 2020

Exploiting Text Prompts for the Development of an End-to-End Computer-Assisted Pronunciation Training System.
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing, 2020

An Effective End-to-End Modeling Approach for Mispronunciation Detection.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Spoken Document Retrieval Leveraging Bert-Based Modeling and Query Reformulation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
使用生成對抗網路於強健式自動語音辨識的應用(Exploiting Generative Adversarial Network for Robustness Automatic Speech Recognition).
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing, 2019

探究端對端語音辨識於發音檢測與診斷(Investigating on Computer-Assisted Pronunciation Training Leveraging End-to-End Speech Recognition Techniques).
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing, 2019

Enhanced Bert-Based Ranking Models for Spoken Document Retrieval.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Semi-supervised Training of Acoustic Models Leveraging Knowledge Transferred from Out-of-Domain Data.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
探討聲學模型的合併技術與半監督鑑別式訓練於會議語音辨識之研究 (Investigating acoustic model combination and semi-supervised discriminative training for meeting speech recognition) [In Chinese].
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018

會議語音辨識使用語者資訊之語言模型調適技術 (On the Use of Speaker-Aware Language Model Adaptation Techniques for Meeting Speech Recognition ) [In Chinese].
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018

探討鑑別式訓練聲學模型之類神經網路架構及優化方法的改進 (Discriminative Training of Acoustic Models Leveraging Improved Neural Network Architecture and Optimization Method) [In Chinese].
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018

2017
On the Use of Neural Network Modeling Techniques for Spoken Document Retrieval.
Int. J. Comput. Linguistics Chin. Lang. Process., 2017

使用查詢意向探索與類神經網路於語音文件檢索之研究 (Exploring Query Intent and Neural Network modeling Techniques for Spoken Document Retrieval) [In Chinese].
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, 2017

Neural relevance-aware query modeling for spoken document retrieval.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017


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