K.M. Knill

596 total citations
30 papers, 378 citations indexed

About

K.M. Knill is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, K.M. Knill has authored 30 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in K.M. Knill's work include Speech Recognition and Synthesis (20 papers), Speech and dialogue systems (10 papers) and Music and Audio Processing (10 papers). K.M. Knill is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Speech and dialogue systems (10 papers) and Music and Audio Processing (10 papers). K.M. Knill collaborates with scholars based in United Kingdom, South Sudan and Austria. K.M. Knill's co-authors include Mark Gales, S.J. Young, Anton Ragni, Philip C. Woodland, C. Zhang, Shakti P. Rath, Sabine Buchholz, Javier Latorre, Sacha Krstulović and Norbert Braunschweiler and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing and Speech Communication.

In The Last Decade

K.M. Knill

29 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.M. Knill United Kingdom	10	359	206	48	24	8	30	378
Daniel Willett Germany	13	367 1.0×	209 1.0×	60 1.3×	26 1.1×	6 0.8×	40	419
Mahsa Yarmohammadi United States	6	307 0.9×	174 0.8×	27 0.6×	17 0.7×	7 0.9×	14	334
G. Evermann United Kingdom	11	505 1.4×	317 1.5×	60 1.3×	26 1.1×	5 0.6×	17	521
Ivan Bulyko United States	15	578 1.6×	173 0.8×	27 0.6×	28 1.2×	18 2.3×	41	611
Stephan Kanthak Germany	13	439 1.2×	183 0.9×	37 0.8×	20 0.8×	6 0.8×	20	454
Yatharth Saraf United States	9	385 1.1×	225 1.1×	57 1.2×	23 1.0×	8 1.0×	17	459
I. Lee Hetherington United States	11	305 0.8×	113 0.5×	27 0.6×	26 1.1×	9 1.1×	18	327
Arun Babu India	3	248 0.7×	112 0.5×	28 0.6×	19 0.8×	8 1.0×	4	299
Xiaohai Tian Singapore	13	469 1.3×	426 2.1×	47 1.0×	32 1.3×	10 1.3×	41	515
Venkata Ramana Rao Gadde United States	9	293 0.8×	259 1.3×	37 0.8×	31 1.3×	6 0.8×	13	344

Countries citing papers authored by K.M. Knill

Since Specialization

Citations

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

Fields of papers citing papers by K.M. Knill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.M. Knill. 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 K.M. Knill. The network helps show where K.M. Knill may publish in the future.

Co-authorship network of co-authors of K.M. Knill

This figure shows the co-authorship network connecting the top 25 collaborators of K.M. Knill. A scholar is included among the top collaborators of K.M. Knill 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 K.M. Knill. K.M. Knill 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

Gales, Mark, et al.. (2025). ASR Error Correction Using Large Language Models. IEEE Transactions on Audio Speech and Language Processing. 33. 1389–1401. 1 indexed citations

Knill, K.M., et al.. (2023). Annotation of L2 English Speech for Developing and Evaluating End-to-End Spoken Grammatical Error Correction. 146–150. 1 indexed citations

Gales, Mark, et al.. (2023). Adapting an ASR Foundation Model for Spoken Language Assessment. 104–108. 1 indexed citations

Knill, K.M., et al.. (2023). Towards Acoustic-to-Articulatory Inversion for Pronunciation Training. Apollo (University of Cambridge). 66–70.

Knill, K.M., et al.. (2023). Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning. 126–130. 1 indexed citations

Gales, Mark, et al.. (2023). Automatic Assessment of Conversational Speaking Tests. 99–103. 1 indexed citations

Ragni, Anton, et al.. (2022). Increasing Context for Estimating Confidence Scores in Automatic Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1319–1329. 2 indexed citations

Gretter, Roberto, et al.. (2021). ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech. 3845–3849. 3 indexed citations

Knill, K.M., Mark Gales, Potsawee Manakul, & Andrew Caines. (2019). Automatic Grammatical Error Detection of Non-native Spoken Learner English. Apollo (University of Cambridge). 8127–8131. 13 indexed citations

10.

Wang, Yu, Mark Gales, K.M. Knill, et al.. (2018). Towards automatic assessment of spontaneous spoken English. Speech Communication. 104. 47–56. 30 indexed citations

11.

Wang, Yizhou, et al.. (2018). Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment. Apollo (University of Cambridge). 27. 994–1000. 8 indexed citations

12.

Ragni, Anton, et al.. (2017). Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search. Apollo (University of Cambridge). 5770–5774. 3 indexed citations

13.

Chen, Xiaoye, et al.. (2017). Recurrent neural network language models for keyword search. Apollo (University of Cambridge). 21. 5775–5779. 6 indexed citations

14.

Knill, K.M., et al.. (2013). Investigation of multilingual deep neural networks for spoken term detection. Apollo (University of Cambridge). 67 indexed citations

15.

Zen, Heiga, Norbert Braunschweiler, Sabine Buchholz, et al.. (2012). Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization. IEEE Transactions on Audio Speech and Language Processing. 20(6). 1713–1724. 70 indexed citations

16.

Burrows, Tina, et al.. (2006). Analysis and modelling of question intonation in american English. paper 077–0. 1 indexed citations

17.

Knill, K.M., et al.. (2006). Comparison of the ITU-t p.85 standard to other methods for the evaluation of text-to-speech systems. paper 1233–Tue2WeO.3. 10 indexed citations

18.

Burrows, Tina, et al.. (2005). Combining models of prosodic phrasing and pausing. 1829–1832. 5 indexed citations

19.

Knill, K.M., Mark Gales, & S.J. Young. (2002). Use of Gaussian selection in large vocabulary continuous speech recognition using HMMS. 1. 470–473. 32 indexed citations

20.

Knill, K.M. & S. Young. (1999). Low-cost implementation of open set keyword spotting. Computer Speech & Language. 13(3). 243–266. 3 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.

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