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ORCIDQiang Huang 0008
Person information
- affiliation: University of Sheffield,Speech and Hearing Research Group, UK
Other persons with the same name
- Qiang Huang — disambiguation page
- Qiang Huang 0001
![[0000-0001-7826-4792]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7826-4792")
— University of Southern California, Los Angeles, CA, USA - Qiang Huang 0002 — Beijing Institute of Technology, Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing, China (and 1 more)
- Qiang Huang 0003 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Qiang Huang 0004 — Fudan University, State Key Laboratory of Genetic Engineering, Shanghai, China
- Qiang Huang 0005 — Hangzhou Dianzi University, School of Communications Engineering, Hangzhou, China
- Qiang Huang 0006 — University of East Anglia, Norwich, UK
- Qiang Huang 0007 — University of Surrey, Guildford, UK
- Qiang Huang 0009 — Wuhan University, Wuhan, China
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2020 – today
- 2021
[j1]Yanpei Shi, Qiang Huang, Thomas Hain:
H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model. Neural Networks 142: 329-339 (2021)- [c7]Qiang Huang, Thomas Hain:
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Networks. ICASSP 2021: 6473-6477 - 2020
- [c6]Yanpei Shi, Qiang Huang, Thomas Hain:
H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model. ICASSP 2020: 7579-7583 - [c5]Yanpei Shi, Qiang Huang, Thomas Hain:
Speaker Re-Identification with Speaker Dependent Speech Enhancement. INTERSPEECH 2020: 1530-1534 - [c4]Yanpei Shi, Qiang Huang, Thomas Hain:
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification. INTERSPEECH 2020: 2992-2996 - [c3]Qiang Huang, Thomas Hain:
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models. INTERSPEECH 2020: 4611-4615 - [c2]Yanpei Shi, Qiang Huang, Thomas Hain:
Robust Speaker Recognition Using Speech Enhancement And Attention Model. Odyssey 2020: 451-458 - [i9]Yanpei Shi, Qiang Huang, Thomas Hain:
Robust Speaker Recognition Using Speech Enhancement And Attention Model. CoRR abs/2001.05031 (2020) - [i8]Yanpei Shi, Qiang Huang, Thomas Hain:
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification. CoRR abs/2005.07817 (2020) - [i7]Yanpei Shi, Qiang Huang, Thomas Hain:
Speaker Re-identification with Speaker Dependent Speech Enhancement. CoRR abs/2005.07818 (2020) - [i6]Qiang Huang, Thomas Hain:
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models. CoRR abs/2005.08053 (2020) - [i5]Qiang Huang, Thomas Hain:
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network. CoRR abs/2010.11286 (2020) - [i4]Yanpei Shi, Mingjie Chen, Qiang Huang, Thomas Hain:
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model. CoRR abs/2010.16071 (2020)
2010 – 2019
- 2019
- [c1]Qiang Huang, Thomas Hain:
Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention. INTERSPEECH 2019: 584-588 - [i3]Yanpei Shi, Qiang Huang, Thomas Hain:
Improving Robustness In Speaker Identification Using A Two-Stage Attention Model. CoRR abs/1909.11200 (2019) - [i2]Yanpei Shi, Qiang Huang, Thomas Hain:
Contextual Joint Factor Acoustic Embeddings. CoRR abs/1910.07601 (2019) - [i1]Yanpei Shi, Qiang Huang, Thomas Hain:
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model. CoRR abs/1910.07900 (2019)
Coauthor Index
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