139 citations · 207 across the 14 of their papers we have counts for
8 papers · 1 filter
Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms
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 seq…
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR
Fu-An Chao, Jeih-weih Hung, Berlin Chen
In recent decades, many studies have suggested that phase information is crucial for speech enhancement (SE), and time-domain single-channel speech enhancement techniques have show…
Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods
Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo +2
With the acceleration of globalization, more and more people are willing or required to learn second languages (L2). One of the major remaining challenges facing current mispronunc…
TENET: A Time-reversal Enhancement Network for Noise-robust ASR
Fu-An Chao, Shao-Wei Fan Jiang, Bi-Cheng Yan +2
Due to the unprecedented breakthroughs brought about by deep learning, speech enhancement (SE) techniques have been developed rapidly and play an important role prior to acoustic m…
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition
Shih-Hsuan Chiu, Tien-Hong Lo, Fu-An Chao +1
How to effectively incorporate cross-utterance information cues into a neural language model (LM) has emerged as one of the intriguing issues for automatic speech recognition (ASR)…
Innovative Bert-based Reranking Language Models for Speech Recognition
Shih-Hsuan Chiu, Berlin Chen
More recently, Bidirectional Encoder Representations from Transformers (BERT) was proposed and has achieved impressive success on many natural language processing (NLP) tasks such…