no code implementations • ROCLING 2021 • You-Sheng Tsao, Tien-Hong Lo, Jiun-Ting Li, Shi-Yan Weng, Berlin Chen
With the widespread commercialization of smart devices, research on environmental sound classification has gained more and more attention in recent years.
no code implementations • ROCLING 2022 • Tzu-I Wu, Tien-Hong Lo, Fu-An Chao, Yao-Ting Sung, Berlin Chen
Due to the surge in global demand for English as a second language (ESL), developments of automated methods for grading speaking proficiency have gained considerable attention.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 11 Apr 2024 • Tien-Hong Lo, Fu-An Chao, Tzu-I Wu, Yao-Ting Sung, Berlin Chen
Automated speaking assessment (ASA) typically involves automatic speech recognition (ASR) and hand-crafted feature extraction from the ASR transcript of a learner's speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 29 May 2023 • Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, Yao-Ting Sung, Berlin Chen
Automatic Pronunciation Assessment (APA) plays a vital role in Computer-assisted Pronunciation Training (CAPT) when evaluating a second language (L2) learner's speaking proficiency.
no code implementations • 17 Oct 2021 • Tien-Hong Lo, Yao-Ting Sung, Berlin Chen
Recently, end-to-end (E2E) models, which allow to take spectral vector sequences of L2 (second-language) learners' utterances as input and produce the corresponding phone-level sequences as output, have attracted much research attention in developing mispronunciation detection (MD) systems.
no code implementations • 13 Jun 2021 • Shih-Hsuan Chiu, Tien-Hong Lo, Fu-An Chao, Berlin Chen
In view of this, we in this paper seek to represent the historical context information of an utterance as graph-structured data so as to distill cross-utterances, global word interaction relationships.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • IJCLCLP 2021 • Fu-An Chao, Tien-Hong Lo, Shi-Yan Weng, Shih-Hsuan Chiu, Yao-Ting Sung, Berlin Chen
This paper describes the NTNU ASR system participating in the Formosa Speech Recognition Challenge 2020 (FSR-2020) supported by the Formosa Speech in the Wild project (FSW).
no code implementations • 4 Nov 2020 • Yu-Sen Cheng, Chun-Liang Shih, Tien-Hong Lo, Wen-Ting Tseng, Berlin Chen
In this report, we describe our submission to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020.
no code implementations • 27 Oct 2020 • Wen-Ting Tseng, Tien-Hong Lo, Yung-Chang Hsu, Berlin Chen
To this end, predominant approaches to FAQ retrieval typically rank question-answer pairs by considering either the similarity between the query and a question (q-Q), the relevance between the query and the associated answer of a question (q-A), or combining the clues gathered from the q-Q similarity measure and the q-A relevance measure.
no code implementations • 1 Jun 2020 • Shi-Yan Weng, Tien-Hong Lo, Berlin Chen
Tremendous amounts of multimedia associated with speech information are driving an urgent need to develop efficient and effective automatic summarization methods.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 18 May 2020 • Tien-Hong Lo, Shi-Yan Weng, Hsiu-jui Chang, Berlin Chen
Recently, end-to-end (E2E) automatic speech recognition (ASR) systems have garnered tremendous attention because of their great success and unified modeling paradigms in comparison to conventional hybrid DNN-HMM ASR systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 18 May 2020 • Tien-Hong Lo, Fu-An Chao, Shi-Yan Weng, Berlin Chen
This paper describes the NTNU ASR system participating in the Interspeech 2020 Non-Native Children's Speech ASR Challenge supported by the SIG-CHILD group of ISCA.