Khe Chai Sim

3.1k total citations · 1 hit paper
111 papers, 1.8k citations indexed

About

Khe Chai Sim is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Khe Chai Sim has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Artificial Intelligence, 85 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Khe Chai Sim's work include Speech Recognition and Synthesis (93 papers), Speech and Audio Processing (79 papers) and Music and Audio Processing (61 papers). Khe Chai Sim is often cited by papers focused on Speech Recognition and Synthesis (93 papers), Speech and Audio Processing (79 papers) and Music and Audio Processing (61 papers). Khe Chai Sim collaborates with scholars based in Singapore, United States and United Kingdom. Khe Chai Sim's co-authors include Mark Gales, Bo Li, Haizhou Li, Tara N. Sainath, Hwee Tou Ng, Golan Pundak, Bo Li, Philip C. Woodland, Tom Bagby and Kanishka Rao and has published in prestigious journals such as ACM Transactions on Information Systems, IEEE Transactions on Audio Speech and Language Processing and Computer Speech & Language.

In The Last Decade

Khe Chai Sim

110 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Streaming End-to-end Speech Recognition for Mobile Devices

2019 345 citations Tara N. Sainath, Rohit Prabhavalkar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Khe Chai Sim Singapore	21	1.6k	1.2k	157	50	50	111	1.8k
William Chan United States	8	1.5k 0.9×	931 0.8×	176 1.1×	40 0.8×	68 1.4×	28	1.7k
Rohit Prabhavalkar United States	21	1.6k 1.0×	1.0k 0.9×	154 1.0×	22 0.4×	36 0.7×	59	1.8k
Wei-Ning Hsu United States	20	1.2k 0.8×	691 0.6×	145 0.9×	35 0.7×	75 1.5×	52	1.4k
Michiel Bacchiani United States	24	1.6k 1.0×	1.1k 0.9×	142 0.9×	70 1.4×	74 1.5×	66	1.9k
Kanishka Rao India	17	1.6k 1.0×	967 0.8×	278 1.8×	32 0.6×	86 1.7×	53	1.9k
Erik McDermott Japan	20	1.9k 1.2×	1.5k 1.3×	266 1.7×	38 0.8×	162 3.2×	68	2.2k
Seiichi Nakagawa Japan	21	1.3k 0.8×	1.0k 0.9×	187 1.2×	24 0.5×	159 3.2×	257	1.6k
P. Nguyen United States	11	826 0.5×	665 0.6×	177 1.1×	22 0.4×	39 0.8×	18	1.1k
Carolina Parada United States	16	1.1k 0.7×	840 0.7×	217 1.4×	35 0.7×	18 0.4×	24	1.4k
Nanxin Chen United States	19	2.0k 1.3×	1.6k 1.4×	207 1.3×	23 0.5×	86 1.7×	29	2.3k

Countries citing papers authored by Khe Chai Sim

Since Specialization

Citations

This map shows the geographic impact of Khe Chai Sim'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 Khe Chai Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khe Chai Sim more than expected).

Fields of papers citing papers by Khe Chai Sim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khe Chai Sim. 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 Khe Chai Sim. The network helps show where Khe Chai Sim may publish in the future.

Co-authorship network of co-authors of Khe Chai Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Khe Chai Sim. A scholar is included among the top collaborators of Khe Chai Sim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khe Chai Sim. Khe Chai Sim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Weiran, Rohit Prabhavalkar, Zhong Meng, et al.. (2024). Massive End-to-end Speech Recognition Models with Time Reduction. 6206–6217. 1 indexed citations

2.

Stooke, Adam, Khe Chai Sim, M. Chua, Tsendsuren Munkhdalai, & Trevor Strohman. (2023). Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. abs/2012.00133. 213–220. 2 indexed citations

3.

Huo, Zhouyuan, et al.. (2023). Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. 556–560. 1 indexed citations

4.

Song, G. Hugh, Zelin Wu, Golan Pundak, et al.. (2023). Contextual Spelling Correction with Large Language Models. 1–8. 1 indexed citations

5.

Variani, Ehsan, et al.. (2022). UserLibri: A Dataset for ASR Personalization Using Only Text. Interspeech 2022. 694–698. 2 indexed citations

6.

Misra, Ananya, et al.. (2021). A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. 731–735. 10 indexed citations

7.

Tan, Shawn, Khe Chai Sim, & Mark Gales. (2015). Improving the interpretability of deep neural networks with stimulated learning. 617–623. 26 indexed citations

8.

Sim, Khe Chai, et al.. (2014). Combining Punctuation and Disfluency Prediction: An Empirical Study. 121–130. 6 indexed citations

9.

Ng, Hwee Tou, et al.. (2014). A Beam-Search Decoder for Disfluency Detection. International Conference on Computational Linguistics. 1457–1467. 3 indexed citations

10.

Wang, Guangsen & Khe Chai Sim. (2014). Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(11). 1660–1669. 11 indexed citations

11.

Wang, Guangsen & Khe Chai Sim. (2013). Context dependent acoustic keyword spotting using deep neural network. National University of Singapore. 1–10. 3 indexed citations

12.

Liu, Shilin & Khe Chai Sim. (2013). Temporally Varying Weight Regression: A Semi-Parametric Trajectory Model for Automatic Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(1). 151–160. 6 indexed citations

13.

Li, Bo & Khe Chai Sim. (2013). Improving robustness of deep neural networks via spectral masking for automatic speech recognition. National University of Singapore. 28 indexed citations

14.

Sim, Khe Chai. (2013). Approximated Parallel Model Combination for efficient noise-robust speech recognition. National University of Singapore. 3. 7383–7387. 1 indexed citations

15.

Sim, Khe Chai. (2012). Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition. National University of Singapore. 31–39. 4 indexed citations

16.

Maddage, Namunu C., Khe Chai Sim, & Haizhou Li. (2010). Word level automatic alignment of music and lyrics using vocal synthesis. ACM Transactions on Multimedia Computing Communications and Applications. 6(3). 1–16. 2 indexed citations

17.

Sim, Khe Chai. (2009). A Phone Verification Approach to Pronunciation Quality Assessment for Spoken Language Learning. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 619–622. 1 indexed citations

18.

Li, Haizhou, et al.. (2009). Query-by-Example Spoken Document Retrieval : The Star Challenge 2008. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 319–323. 1 indexed citations

19.

Li, Haizhou, et al.. (2007). Semantic Transliteration of Personal Names. Meeting of the Association for Computational Linguistics. 120–127. 34 indexed citations

20.

Sim, Khe Chai & Mark Gales. (2005). Temporally varying model parameters for large vocabulary continuous speech recognition. 2137–2140. 7 indexed citations

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.

Explore authors with similar magnitude of impact