Mitchell McLaren

3.1k total citations · 1 hit paper
84 papers, 1.9k citations indexed

About

Mitchell McLaren is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mitchell McLaren has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 71 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mitchell McLaren's work include Speech Recognition and Synthesis (81 papers), Speech and Audio Processing (67 papers) and Music and Audio Processing (55 papers). Mitchell McLaren is often cited by papers focused on Speech Recognition and Synthesis (81 papers), Speech and Audio Processing (67 papers) and Music and Audio Processing (55 papers). Mitchell McLaren collaborates with scholars based in United States, Netherlands and Australia. Mitchell McLaren's co-authors include Luciana Ferrer, Yun Lei, Nicolas Scheffer, David A. van Leeuwen, Aaron Lawson, Diego Castán, Martin Graciarena, Sridha Sridharan, Roy Wallace and Mohamad Hasan Bahari and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Engineering Applications of Artificial Intelligence and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Mitchell McLaren

84 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.

A novel scheme for speaker recognition using a phonetically-aware deep neural network

2014 343 citations Yun Lei, Nicolas Scheffer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell McLaren United States	24	1.7k	1.6k	184	94	39	84	1.9k
Sachin Kajarekar United States	20	1.3k 0.8×	1.2k 0.7×	119 0.6×	84 0.9×	28 0.7×	52	1.4k
Jean‐Luc Gauvain France	24	2.1k 1.3×	1.2k 0.8×	346 1.9×	191 2.0×	45 1.2×	114	2.4k
Petr Motlíček Switzerland	21	1.1k 0.7×	831 0.5×	114 0.6×	98 1.0×	19 0.5×	155	1.4k
Jonathan Shen United States	5	1.4k 0.8×	936 0.6×	205 1.1×	90 1.0×	15 0.4×	7	1.6k
Rohit Sinha India	19	946 0.6×	900 0.6×	130 0.7×	112 1.2×	26 0.7×	123	1.2k
Seiichi Nakagawa Japan	21	1.3k 0.8×	1.0k 0.7×	187 1.0×	159 1.7×	24 0.6×	257	1.6k
Tom Ko China	13	1.6k 1.0×	1.3k 0.8×	167 0.9×	107 1.1×	13 0.3×	44	1.8k
Zhengyang Chen China	14	1.1k 0.7×	892 0.6×	145 0.8×	137 1.5×	13 0.3×	50	1.4k
Sanyuan Chen China	13	1.1k 0.7×	763 0.5×	126 0.7×	136 1.4×	14 0.4×	26	1.4k
Pavel Matějka Czechia	26	2.0k 1.2×	1.9k 1.2×	259 1.4×	103 1.1×	107 2.7×	63	2.3k

Countries citing papers authored by Mitchell McLaren

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell McLaren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell McLaren. 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 Mitchell McLaren. The network helps show where Mitchell McLaren may publish in the future.

Co-authorship network of co-authors of Mitchell McLaren

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell McLaren. A scholar is included among the top collaborators of Mitchell McLaren 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 Mitchell McLaren. Mitchell McLaren 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

Graciarena, Martin, et al.. (2022). Detecting Synthetic Speech Manipulation in Real Audio Recordings. 1–6. 5 indexed citations

Fernando, Tharindu, et al.. (2020). Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. QUT ePrints (Queensland University of Technology). 7 indexed citations

Korshunov, Pavel, Michael Halstead, Diego Castán, et al.. (2019). Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 9 indexed citations

Nandwana, Mahesh Kumar, Mitchell McLaren, Diego Castán, Julien van Hout, & Aaron Lawson. (2018). Analysis of Complementary Information Sources in the Speaker Embeddings Framework. 3568–3572. 3 indexed citations

Castán, Diego, Mitchell McLaren, Luciana Ferrer, Aaron Lawson, & Alicia Lozano-Díez. (2017). Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data. 3737–3741. 2 indexed citations

McLaren, Mitchell, Luciana Ferrer, Diego Castán, & Aaron Lawson. (2016). The Speakers in the Wild (SITW) Speaker Recognition Database. 818–822. 149 indexed citations

Lawson, Aaron, Mitchell McLaren, Harry Bratt, et al.. (2016). Open Language Interface for Voice Exploitation (OLIVE).. Conference of the International Speech Communication Association. 377–378. 2 indexed citations

McLaren, Mitchell, Diego Castán, Luciana Ferrer, & Aaron Lawson. (2016). On the Issue of Calibration in DNN-Based Speaker Recognition Systems. 1825–1829. 7 indexed citations

Vergyri, Dimitra, Elizabeth Shriberg, Vikramjit Mitra, et al.. (2015). Speech-based assessment of PTSD in a military population using diverse feature classes. 3729–3733. 15 indexed citations

10.

Ferrer, Luciana, Yun Lei, Mitchell McLaren, & Nicolas Scheffer. (2015). Study of Senone-Based Deep Neural Network Approaches for Spoken Language Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(1). 105–116. 51 indexed citations

11.

Ferrer, Luciana, Yun Lei, Mitchell McLaren, & Nicolas Scheffer. (2014). Spoken language recognition based on senone posteriors. 2150–2154. 14 indexed citations

12.

Lei, Yun, Nicolas Scheffer, Luciana Ferrer, & Mitchell McLaren. (2014). A novel scheme for speaker recognition using a phonetically-aware deep neural network. 1695–1699. 343 indexed citations breakdown →

13.

Mitra, Vikramjit, Mitchell McLaren, Horacio Franco, Martin Graciarena, & Nicolas Scheffer. (2013). Modulation features for noise robust speaker identification. 3703–3707. 21 indexed citations

14.

Saeidi, Rahim, et al.. (2013). Quality Measure Functions for Calibration of Speaker Recognition Systems in Various Duration Conditions. IEEE Transactions on Audio Speech and Language Processing. 21(11). 2425–2438. 50 indexed citations

15.

McLaren, Mitchell & David A. van Leeuwen. (2011). Improved speaker recognition when using i-vectors from multiple speech sources. Radboud Repository (Radboud University). 5460–5463. 18 indexed citations

16.

McLaren, Mitchell & David A. van Leeuwen. (2011). Source-normalised LDA for robust speaker recognition using i-vectors. Data Archiving and Networked Services (DANS). 5 indexed citations

17.

McLaren, Mitchell, et al.. (2011). Evaluation of i-vector speaker recognition systems for forensic application. Radboud Repository (Radboud University). 21–24. 31 indexed citations

18.

McLaren, Mitchell, Robbie Vogt, Brendan Baker, & Sridha Sridharan. (2010). Experiments in SVM-based Speaker Verification Using Short Utterances.. 17. 27 indexed citations

19.

McLaren, Mitchell, et al.. (2009). Improved SVM speaker verification through data-driven background dataset selection. Inflammation. 18(4). 349–60. 5 indexed citations

20.

McLaren, Mitchell, Brendan Baker, Robbie Vogt, & Sridha Sridharan. (2009). Improved SVM speaker verification through data-driven background dataset collection. 2. 4041–4044. 13 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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