VLDB 2026 Research / reviewers in the wild / expert
Huali Zhou
dblp:277/3986
· DBLP profile ↗
8ranked-venue papers
4as first author
7since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 8 · 4 first-author · 7 since 2021Artificial intelligence and machine learning · 6 · 4 first-author · 5 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Effects of harmonicity on Mandarin speech perception in cochlear implant users
Mingyue Shi, Huali Zhou, Yefei Mo, Nengheng Zheng |
Speech Commun. | 3 |
| 2024 | KunquDB: An Attempt for Speaker Verification in the Chinese Opera Scenario
Huali Zhou, Yuke Lin, Dong Liu 0028, Ming Li 0026 |
ICPR (23) | 1 |
| 2024 | DBD-CI: Doubling the Band Density for Bilateral Cochlear Implants
Mingyue Shi, Huali Zhou, Nengheng Zheng |
INTERSPEECH | 2 |
| 2023 | Bisinger: Bilingual Singing Voice SynthesisabstractAlthough Singing Voice Synthesis (SVS) has made great strides with Text-to-Speech (TTS) techniques, multilingual singing voice modeling remains relatively unexplored. This paper presents BiSinger, a bilingual pop SVS system for English and Chinese Mandarin. Current systems require separate models per language and cannot accurately represent both Chinese and English, hindering code-switch SVS. To address this gap, we design a shared representation between Chinese and English singing voices, achieved by using the CMU dictionary with mapping rules. We fuse monolingual singing datasets with open-source singing voice conversion techniques to generate bilingual singing voices while also exploring the potential use of bilingual speech data. Experiments affirm that our language-independent representation and incorporation of related datasets enable a single model with enhanced performance in English and code-switch SVS while maintaining Chinese song performance. Audio samples are available at https://bisinger-svs.github.io. Huali Zhou, Yueqian Lin, Ming Li 0026 |
ASRU | 1 |
| 2023 | Effects of hearing loss and amplification on Mandarin consonant perception
Huali Zhou, Xianming Bei, Nengheng Zheng |
INTERSPEECH | 1 |
| 2023 | F0inTFS: A lightweight periodicity enhancement strategy for cochlear implants
Huali Zhou, Fanhui Kong, Nengheng Zheng |
INTERSPEECH | 1 |
| 2022 | Internet Streaming Audio Based Speech Reception Threshold Measurement in Cochlear Implant UsersabstractTraditional face-to-face subjective listening test has become a challenge due to the COVID-19 pandemic. We developed a remote assessment system with Tencent Meeting, a video conferencing application, to address this issue. This paper presents our work on evaluating the reliability of the remote assessment system. Two speech reception threshold (SRT) experiments were conducted to study the effects of noise suppression and maxima selection number on cochlear implant (CI) hearing. Both experiments were conducted locally and remotely, the correlations between the respective results were analyzed. Results showed that remote tests replicated the differences among testing conditions observed in local tests, but the absolute SRT values for individual conditions varied significantly between the two modes. The variations could be attributed to multiple reasons, such as online data transmission issues, audio playback devices, environmental conditions, and the training of participants. In conclusion, the relative variation of SRTs for CIs can be measured reliably, but the absolute SRT values should be carefully compared and explained according to objective and subjective experimental conditions. Yefei Mo, Kang Ouyang, Mingyue Shi, Huali Zhou, Yupeng Shi, Shidong Shang, Nengheng Zheng |
ICASSP | 5 |
| 2020 | Enhancing the Interaural Time Difference of Bilateral Cochlear Implants with the Temporal Limits Encoder
Yangyang Wan, Huali Zhou, Nengheng Zheng |
INTERSPEECH | 2 |