1 citations · 1 across the 6 of their papers we have counts for
6 papers
Complex-Text Robustness Evaluation and Failure Diagnosis for Low-Resource Multilingual Text-to-Speech
Tianlun Zuo, Ziyu Zhang, Tingzhi Mao +2
Low-resource multilingual text-to-speech (TTS) systems have expanded language coverage, but their robustness under complex text inputs remains insufficiently diagnosed. Existing ev…
Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker Adaptation
Jing-Xuan Zhang, Tingzhi Mao, Longjiang Guo +2
Lipreading is an important technique for facilitating human-computer interaction in noisy environments. Our previously developed self-supervised learning method, AV2vec, which leve…
Lightweight Transducer Based on Frame-Level Criterion
Genshun Wan, Mengzhi Wang, Tingzhi Mao +2
The transducer model trained based on sequence-level criterion requires a lot of memory due to the generation of the large probability matrix. We proposed a lightweight transducer…
Enriching Under-Represented Named-Entities To Improve Speech Recognition Performance
Tingzhi Mao, Yerbolat Khassanov, Van Tung Pham +4
Automatic speech recognition (ASR) for under-represented named-entity (UR-NE) is challenging due to such named-entities (NE) have insufficient instances and poor contextual coverag…
The NTU-AISG Text-to-speech System for Blizzard Challenge 2020
Haobo Zhang, Tingzhi Mao, Haihua Xu +1
We report our NTU-AISG Text-to-speech (TTS) entry systems for the Blizzard Challenge 2020 in this paper. There are two TTS tasks in this year's challenge, one is a Mandarin TTS tas…
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems
Tingzhi Mao, Yerbolat Khassanov, Van Tung Pham +3
In this paper, we present a series of complementary approaches to improve the recognition of underrepresented named entities (NE) in hybrid ASR systems without compromising overall…