Jerome R. Bellegarda

1.1k total citations
50 papers, 615 citations indexed

About

Jerome R. Bellegarda is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Jerome R. Bellegarda has authored 50 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 15 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Jerome R. Bellegarda's work include Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (15 papers). Jerome R. Bellegarda is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (15 papers). Jerome R. Bellegarda collaborates with scholars based in United States, Israel and Germany. Jerome R. Bellegarda's co-authors include Shiva Sundaram, Christof Monz, Kim Silverman, Dirk Van Compernolle, Dimitri Kanevsky, D. Nahamoo, Tara N. Sainath, Kris Demuynck, Jort F. Gemmeke and Bhuvana Ramabhadran and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Jerome R. Bellegarda

45 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerome R. Bellegarda United States	12	534	195	61	42	26	50	615
Kevin Lenzo United States	15	593 1.1×	135 0.7×	41 0.7×	73 1.7×	33 1.3×	27	666
Mikio Yamamoto Japan	11	541 1.0×	284 1.5×	66 1.1×	23 0.5×	64 2.5×	45	687
Toshiyuki Takezawa Japan	15	860 1.6×	318 1.6×	72 1.2×	39 0.9×	49 1.9×	78	1.0k
Vasilis Karaiskos United Kingdom	6	328 0.6×	118 0.6×	45 0.7×	53 1.3×	23 0.9×	8	416
Larry Gillick United States	13	605 1.1×	390 2.0×	90 1.5×	47 1.1×	24 0.9×	32	723
Takehito Utsuro Japan	12	623 1.2×	131 0.7×	60 1.0×	22 0.5×	70 2.7×	130	732
Yannick Estève France	15	717 1.3×	331 1.7×	84 1.4×	74 1.8×	17 0.7×	74	816
Tim Schlippe Germany	13	435 0.8×	124 0.6×	25 0.4×	55 1.3×	21 0.8×	41	516
Andrej Ljolje United States	15	534 1.0×	306 1.6×	76 1.2×	89 2.1×	10 0.4×	39	605
Victor Abrash United States	11	471 0.9×	217 1.1×	38 0.6×	64 1.5×	21 0.8×	25	527

Countries citing papers authored by Jerome R. Bellegarda

Since Specialization

Citations

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

Fields of papers citing papers by Jerome R. Bellegarda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerome R. Bellegarda. 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 Jerome R. Bellegarda. The network helps show where Jerome R. Bellegarda may publish in the future.

Co-authorship network of co-authors of Jerome R. Bellegarda

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

All Works

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20 of 20 papers shown

Bellegarda, Jerome R.. (2023). Prefix-Level Detection and Autocorrection of Keyboard Input Errors. 1–5.

Bellegarda, Jerome R., et al.. (2020). Leveraging Gans to Improve Continuous Path Keyboard Input Models. 8 indexed citations

Bellegarda, Jerome R., et al.. (2019). Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?. Lirias (KU Leuven). 3485–3489. 3 indexed citations

Bellegarda, Jerome R. & Christof Monz. (2015). State of the art in statistical methods for language and speech processing. Computer Speech & Language. 35. 163–184. 24 indexed citations

Bellegarda, Jerome R.. (2012). Spoken Language Understanding for Natural Interaction: The Siri Experience.. 3–14. 1 indexed citations

Ramabhadran, Bhuvana, D. Nahamoo, Dimitri Kanevsky, et al.. (2012). Exemplar-based processing for speech recognition. IEEE Signal Processing Magazine. 29(6). 98–113. 6 indexed citations

Sundaram, Shiva & Jerome R. Bellegarda. (2012). Latent perceptual mapping with data-driven variable-length acoustic units for template-based speech recognition. 4125–4128. 10 indexed citations

Sainath, Tara N., Bhuvana Ramabhadran, D. Nahamoo, et al.. (2012). Exemplar-Based Processing for Speech Recognition: An Overview. IEEE Signal Processing Magazine. 29(6). 98–113. 42 indexed citations

Bellegarda, Jerome R.. (2012). DATA‐DRIVEN ANALYSIS OF EMOTION IN TEXT USING LATENT AFFECTIVE FOLDING AND EMBEDDING. Computational Intelligence. 29(3). 506–526. 7 indexed citations

10.

Bellegarda, Jerome R.. (2011). Sentiment analysis of text-to-speech input using latent affective mapping. 6. 300–305. 1 indexed citations

11.

Bellegarda, Jerome R.. (2010). Toward naturally expressive speech synthesis: data - driven emotion detection using latent affective analysis.. SSW. 200–205. 3 indexed citations

12.

Bellegarda, Jerome R.. (2009). A novel approach to cost weighting in unit selection TTS. 744–747.

13.

Bellegarda, Jerome R.. (2007). Unit-Centric Feature Mapping for Inventory Pruning in Unit Selection Text-to-Speech Synthesis. IEEE Transactions on Audio Speech and Language Processing. 16(1). 74–82. 5 indexed citations

14.

Bellegarda, Jerome R. & B.-H. Juang. (2006). Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing). Morgan & Claypool Publishers eBooks. 5 indexed citations

15.

Bellegarda, Jerome R.. (2004). A novel discontinuity metric for unit selection text-to-speech synthesis.. SSW. 133–138. 17 indexed citations

16.

Bellegarda, Jerome R.. (2003). Statistical language model adaptation: review and perspectives. Speech Communication. 42(1). 93–108. 199 indexed citations

17.

Bellegarda, Jerome R.. (2003). A latent analogy framework for grapheme-to-phoneme conversion. 2029–2032. 5 indexed citations

18.

Bellegarda, Jerome R.. (1998). Multi-Span statistical language modeling for large vocabulary speech recognition. paper 0134–0. 3 indexed citations

19.

Bellegarda, Jerome R.. (1997). A latent semantic analysis framework for large-Span language modeling. 1451–1454. 30 indexed citations

20.

Bellegarda, Jerome R. & David C. Farden. (1987). A direct approach to time-varying modelling. 1065–1066. 5 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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