Tom Ko
Impact in
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 36
- Speech and dialogue systems 4
- Domain Adaptation and Few-Shot Learning 2
- Natural Language Processing Techniques 2
-
- Music and Audio Processing 2
- Speech and Audio Processing 1
- Co-authors
- Daniel Povey (4 shared papers)Sanjeev P. Khudanpur (3 shared papers)Vijayaditya Peddinti (3 shared papers)Michael L. Seltzer (1 shared paper)Brian Kan-Wing Mak (10 shared papers)David Snyder (1 shared paper)Yu Zhang (10 shared papers)Qing Li (5 shared papers)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Speech Communication (1 paper)IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (9 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Tom Ko
44 papers receiving 2.1k citations
Tom Ko's Hit Papers
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 1.9k
- Signal Processing 330
- Computer Vision and Pattern Recognition 118
- Experimental and Cognitive Psychology 65
- Health Informatics 5
Countries citing papers authored by Tom Ko
This map shows the geographic impact of Tom Ko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ko more than expected).
Fields of papers citing papers by Tom Ko
This network shows the impact of papers produced by Tom Ko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Ko. The network helps show where Tom Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Audio augmentation for speech recognition Hit paper breakdown → | 2015 | 836 |
| 2 | A study on data augmentation of reverberant speech for robust speech recognition Hit paper breakdown → | 2017 | 619 |
| 3 | 2018 | 178 | |
| 4 | 2022 | 89 | |
| 5 | WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research Hit paper breakdown → | 2024 | 89 |
| 6 | 2015 | 79 | |
| 7 | 2016 | 63 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 27 | |
| 11 | 2019 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2023 | 13 |
About Tom Ko
Tom Ko is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and dialogue systems (4 papers), Multimodal Machine Learning Applications (3 papers), Music and Audio Processing (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Natural Language Processing Techniques (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Artificial Intelligence (1.9k citations), Signal Processing (330 citations), Computer Vision and Pattern Recognition (118 citations), Experimental and Cognitive Psychology (65 citations) and Health Informatics (5 citations). Tom Ko has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Daniel Povey, Sanjeev P. Khudanpur, Vijayaditya Peddinti, Michael L. Seltzer, Brian Kan-Wing Mak, David Snyder, Yu Zhang, Qing Li, Wenwu Wang and Long Zhou. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) and IEEE International Conference on Acoustics Speech and Signal Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.