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Tianzi Wang — most-cited papers & profile · Speech Audio
← authors
·
overview
Tianzi Wang
18
papers ·
32
citations ·
13
h-index
Xiaomi (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
2021 · 13 citations
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition
2021 · 8 citations
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
2021 · 7 citations
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition
2022 · 3 citations
Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition
2022 · 1 citations
Towards Effective and Efficient Non-autoregressive decoders for Conformer and LLM-based ASR using Block-based Attention Mask
2025
Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models
2025
Toward Streaming ASR with Non-Autoregressive Insertion-based Model
2020
Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition
2022
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems
2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
2022
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems
2023
Use of Speech Impairment Severity for Dysarthric Speech Recognition
2023
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems
2023
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
2023
Top co-authors
Xunying Liu
· 13
Mengzhe Geng
· 11
Shujie Hu
· 11
Zengrui Jin
· 11
Guinan Li
· 9
Xurong Xie
· 9
Jiajun Deng
· 8
Helen Meng
· 5
Mingyu Cui
· 4
Mingyu Cui
· 4
Shinji Watanabe
· 4
Shoukang Hu
· 4
Topics
Speech Recognition
Speech Translation
Speaker Analysis
Text-to-Speech
Audio Generation
Speech Enhancement
Audio Understanding
Multimodal Audio