Pierre Lanchantin

956 total citations
40 papers, 572 citations indexed

About

Pierre Lanchantin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pierre Lanchantin has authored 40 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 25 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pierre Lanchantin's work include Speech Recognition and Synthesis (28 papers), Music and Audio Processing (19 papers) and Natural Language Processing Techniques (15 papers). Pierre Lanchantin is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Music and Audio Processing (19 papers) and Natural Language Processing Techniques (15 papers). Pierre Lanchantin collaborates with scholars based in United Kingdom, France and United States. Pierre Lanchantin's co-authors include Wojciech Pieczynski, Mark Gales, Philip C. Woodland, Jérôme Lapuyade‐Lahorgue, Gilles Degottex, Xavier Rodet, Nicolas Obin, Peter Bell, Steve Renals and Axel Röebel and has published in prestigious journals such as IEEE Transactions on Signal Processing, Signal Processing and Speech Communication.

In The Last Decade

Pierre Lanchantin

35 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Lanchantin United Kingdom 14 434 317 98 44 30 40 572
Dominique Fohr France 14 472 1.1× 342 1.1× 82 0.8× 66 1.5× 16 0.5× 95 564
Shozo Makino Japan 11 267 0.6× 269 0.8× 112 1.1× 70 1.6× 22 0.7× 90 453
Thomas Fang Zheng China 16 813 1.9× 608 1.9× 97 1.0× 63 1.4× 24 0.8× 102 972
Shinnosuke Takamichi Japan 16 756 1.7× 682 2.2× 115 1.2× 64 1.5× 21 0.7× 116 978
Jiangyan Yi China 19 784 1.8× 657 2.1× 223 2.3× 118 2.7× 45 1.5× 98 1.1k
Tsubasa Ochiai Japan 7 897 2.1× 681 2.1× 71 0.7× 45 1.0× 16 0.5× 11 1.0k
Yi Ren China 15 435 1.0× 425 1.3× 232 2.4× 16 0.4× 57 1.9× 40 724
Zoltán Tüske Germany 18 740 1.7× 524 1.7× 83 0.8× 26 0.6× 25 0.8× 47 871
Terri Kamm United States 7 777 1.8× 693 2.2× 256 2.6× 63 1.4× 10 0.3× 8 1.1k

Countries citing papers authored by Pierre Lanchantin

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Lanchantin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Lanchantin

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Lanchantin. A scholar is included among the top collaborators of Pierre Lanchantin 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 Pierre Lanchantin. Pierre Lanchantin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Himawan, Ivan, et al.. (2020). Speaker Adaptation of a Multilingual Acoustic Model for Cross-Language Synthesis. Edinburgh Research Explorer. 7629–7633. 11 indexed citations
2.
Woodland, Philip C., Xiaobing Liu, Yanmin Qian, et al.. (2015). Cambridge university transcription systems for the multi-genre broadcast challenge. 639–646. 22 indexed citations
3.
Lanchantin, Pierre, Christophe Veaux, Mark Gales, Simon King, & Junichi Yamagishi. (2015). Reconstructing voices within the multiple-average-voice-model framework. Edinburgh Research Explorer. 2232–2236. 2 indexed citations
4.
Gales, Mark, Pierre Lanchantin, Xiaobing Liu, et al.. (2015). Speaker diarisation and longitudinal linking in multi-genre broadcast data. Apollo (University of Cambridge). 660–666. 11 indexed citations
5.
Long, Yanhua, et al.. (2013). Improving Lightly Supervised Training for Broadcast Transcriptions. Edinburgh Research Explorer (University of Edinburgh). 3 indexed citations
6.
Lanchantin, Pierre, Peter Bell, Mark Gales, et al.. (2013). Automatic Transcription of Multi-Genre Media Archives. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 26–31. 16 indexed citations
7.
Long, Yanhua, et al.. (2013). Improving lightly supervised training for broadcast transcription. 2187–2191. 15 indexed citations
8.
Bell, Peter, Mark Gales, Pierre Lanchantin, et al.. (2012). Transcription of multi-genre media archives using out-of-domain data. Edinburgh Research Explorer. 1. 324–329. 30 indexed citations
9.
Obin, Nicolas, Christophe Veaux, & Pierre Lanchantin. (2012). Making sense of variations: introducing alternatives in speech synthesis. Edinburgh Research Explorer. 179–182. 1 indexed citations
10.
Lanchantin, Pierre & Xavier Rodet. (2011). Objective evaluation of the Dynamic Model Selection method for spectral voice conversion. 5132–5135. 4 indexed citations
11.
Obin, Nicolas, Pierre Lanchantin, Anne Lacheret, & Xavier Rodet. (2011). Discrete/continuous modelling of speaking style in HMM-based speech synthesis: design and evaluation. 2785–2788. 10 indexed citations
12.
Veaux, Christophe, Pierre Lanchantin, & Xavier Rodet. (2010). Joint prosodic and segmental unit selection for expressive speech synthesis.. SSW. 323–327. 1 indexed citations
13.
Obin, Nicolas, Pierre Lanchantin, Mathieu Avanzi, Anne Lacheret-Dujour, & Xavier Rodet. (2010). Toward improved HMM-based speech synthesis using high-level syntactical features. paper 133–0. 1 indexed citations
14.
Lanchantin, Pierre, Jérôme Lapuyade‐Lahorgue, & Wojciech Pieczynski. (2010). Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. Signal Processing. 91(2). 163–175. 32 indexed citations
15.
Beller, Grégory, Christophe Veaux, Gilles Degottex, et al.. (2008). IRCAM Corpus Tools: Managing speech corpora. 49(3). 77–103.
16.
Lanchantin, Pierre, Andrew Morris, Xavier Rodet, & Christophe Veaux. (2008). Proceedings of the International Conference on Language Resources and Evaluation, LREC 2008, 26 May - 1 June 2008, Marrakech, Morocco. Language Resources and Evaluation. 7 indexed citations
17.
Lanchantin, Pierre & Wojciech Pieczynski. (2005). 03 - Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires. Traitement du signal. 22(1). 15–26. 4 indexed citations
18.
Lanchantin, Pierre & Wojciech Pieczynski. (2005). Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. IEEE Transactions on Signal Processing. 53(8). 3091–3098. 33 indexed citations
19.
Pieczynski, Wojciech & Pierre Lanchantin. (2005). Restoring hidden non stationary process using triplet partially markov chain with long memory noise. 709–714. 1 indexed citations
20.
Pieczynski, Wojciech, et al.. (2003). <title>Statistical image segmentation using triplet Markov fields</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4885. 92–101. 35 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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