Ramya Rasipuram

434 total citations
28 papers, 317 citations indexed

About

Ramya Rasipuram is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Ramya Rasipuram has authored 28 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 20 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Ramya Rasipuram's work include Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (18 papers) and Music and Audio Processing (17 papers). Ramya Rasipuram is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (18 papers) and Music and Audio Processing (17 papers). Ramya Rasipuram collaborates with scholars based in Switzerland, United Kingdom and United States. Ramya Rasipuram's co-authors include Mathew Magimai.-Doss, Tuomo Raitio, Hervé Bourlard, David Imseng, Peter Bell, Miloš Cerňak, Hepeng Zhang, Qiong Hu, Alistair Conkie and Kishore Prahallad and has published in prestigious journals such as Speech Communication, Computer Speech & Language and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Ramya Rasipuram

27 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramya Rasipuram Switzerland 11 287 191 33 17 15 28 317
Andrew Morris Switzerland 10 284 1.0× 250 1.3× 20 0.6× 54 3.2× 11 0.7× 25 384
Piotr Żelasko United States 9 249 0.9× 197 1.0× 25 0.8× 44 2.6× 9 0.6× 33 334
Tamás Gábor Csapó Hungary 11 249 0.9× 211 1.1× 56 1.7× 33 1.9× 4 0.3× 62 347
Daniel Tihelka Czechia 9 195 0.7× 109 0.6× 40 1.2× 30 1.8× 7 0.5× 44 238
Harald Höge Germany 11 362 1.3× 280 1.5× 51 1.5× 49 2.9× 8 0.5× 52 428
Laurent Besacier France 5 278 1.0× 165 0.9× 32 1.0× 41 2.4× 3 0.2× 7 332
Ravichander Vipperla France 11 272 0.9× 224 1.2× 37 1.1× 41 2.4× 3 0.2× 23 348
Simon Bozonnet France 7 384 1.3× 394 2.1× 26 0.8× 59 3.5× 6 0.4× 10 490
Yatharth Saraf United States 9 385 1.3× 225 1.2× 23 0.7× 57 3.4× 4 0.3× 17 459
Amita Dev India 9 167 0.6× 124 0.6× 34 1.0× 39 2.3× 44 2.9× 76 288

Countries citing papers authored by Ramya Rasipuram

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Rasipuram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Rasipuram

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Rasipuram. A scholar is included among the top collaborators of Ramya Rasipuram 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 Ramya Rasipuram. Ramya Rasipuram 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.
Raitio, Tuomo, et al.. (2021). On-Device Neural Speech Synthesis. 1155–1161. 9 indexed citations
2.
Raitio, Tuomo, et al.. (2020). Controllable Neural Text-to-Speech Synthesis Using Intuitive Prosodic Features. 4432–4436. 35 indexed citations
3.
Rasipuram, Ramya, et al.. (2017). Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models. Speech Communication. 96. 168–183. 6 indexed citations
4.
Conkie, Alistair, Qiong Hu, Melvyn J. Hunt, et al.. (2017). Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System. 4011–4015. 44 indexed citations
5.
Rasipuram, Ramya, Miloš Cerňak, & Mathew Magimai.-Doss. (2016). HMM-Based Non-Native Accent Assessment Using Posterior Features. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3137–3141. 4 indexed citations
6.
Rasipuram, Ramya, et al.. (2016). Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework. Speech Communication. 80. 1–21. 9 indexed citations
7.
Rasipuram, Ramya, et al.. (2015). Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5176–5180. 3 indexed citations
8.
Rasipuram, Ramya, et al.. (2015). Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
9.
Rasipuram, Ramya, et al.. (2015). Objective intelligibility assessment of text-to-speech systems through utterance verification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3501–3505. 6 indexed citations
10.
Rasipuram, Ramya, et al.. (2015). Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
11.
Rasipuram, Ramya, et al.. (2015). Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 648–652. 8 indexed citations
12.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2015). Articulatory feature based continuous speech recognition using probabilistic lexical modeling. Computer Speech & Language. 36. 233–259. 18 indexed citations
13.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2014). Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model. Speech Communication. 68. 23–40. 20 indexed citations
14.
Rasipuram, Ramya, et al.. (2014). On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7659–7663. 21 indexed citations
15.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2013). Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10 indexed citations
16.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2013). Improving grapheme-based ASR by probabilistic lexical modeling approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 505–509. 9 indexed citations
17.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2012). Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12. 4841–4844. 18 indexed citations
18.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2011). MULTITASK LEARNING TO IMPROVE ARTICULATORY FEATURE ESTIMATION AND PHONEME RECOGNITION. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 212(Pt 3). 401–12. 2 indexed citations
19.
Magimai.-Doss, Mathew, et al.. (2011). Grapheme-based automatic speech recognition using KL-HMM. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 445–448. 26 indexed citations
20.
Rasipuram, Ramya & Mathew Magimai.-Doss. (2011). Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5192–5195. 15 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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