Roberto Pieraccini

3.8k total citations
91 papers, 2.1k citations indexed

About

Roberto Pieraccini is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roberto Pieraccini has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 19 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roberto Pieraccini's work include Speech and dialogue systems (49 papers), Speech Recognition and Synthesis (37 papers) and Natural Language Processing Techniques (32 papers). Roberto Pieraccini is often cited by papers focused on Speech and dialogue systems (49 papers), Speech Recognition and Synthesis (37 papers) and Natural Language Processing Techniques (32 papers). Roberto Pieraccini collaborates with scholars based in United States, Italy and Hong Kong. Roberto Pieraccini's co-authors include Esther Levin, Wieland Eckert, Shrikanth Narayanan, Chul Min Lee, L. R. Rabiner, J. G. Wilpon, Tim Paek, Enrico Bocchieri, Giuseppe Riccardi and C.-H. Lee and has published in prestigious journals such as Communications of the ACM, The Journal of the Acoustical Society of America and Signal Processing.

In The Last Decade

Roberto Pieraccini

84 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Pieraccini United States 25 1.8k 402 326 209 192 91 2.1k
Bryan Pellom United States 25 1.2k 0.7× 785 2.0× 220 0.7× 170 0.8× 211 1.1× 61 1.7k
Wayne Ward United States 29 2.4k 1.3× 338 0.8× 202 0.6× 134 0.6× 76 0.4× 100 2.8k
E. Shriberg United States 21 1.6k 0.9× 587 1.5× 116 0.4× 283 1.4× 119 0.6× 36 1.9k
Sakriani Sakti Japan 25 1.6k 0.9× 720 1.8× 355 1.1× 164 0.8× 89 0.5× 257 2.2k
AmirAli Bagher Zadeh Singapore 6 1.4k 0.8× 357 0.9× 526 1.6× 667 3.2× 111 0.6× 6 1.9k
Mary P. Harper United States 26 1.4k 0.8× 272 0.7× 180 0.6× 231 1.1× 36 0.2× 107 1.7k
Guillaume Lathoud Switzerland 16 572 0.3× 615 1.5× 326 1.0× 96 0.5× 85 0.4× 31 1.1k
Seiichi Nakagawa Japan 21 1.3k 0.7× 1.0k 2.6× 187 0.6× 159 0.8× 39 0.2× 257 1.6k
Yu Wu China 24 2.7k 1.5× 1.0k 2.5× 366 1.1× 158 0.8× 40 0.2× 55 3.0k
Adam Janin United States 14 770 0.4× 439 1.1× 226 0.7× 89 0.4× 59 0.3× 40 1.1k

Countries citing papers authored by Roberto Pieraccini

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pieraccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pieraccini

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Pieraccini. A scholar is included among the top collaborators of Roberto Pieraccini 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 Roberto Pieraccini. Roberto Pieraccini 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.
Karduck, Achim P., Lotfi A. Zadeh, Tharam S. Dillon, et al.. (2013). General chairs and keynote speakers. 1–9. 1 indexed citations
2.
Suendermann, David & Roberto Pieraccini. (2012). One Year of Contender: What Have We Learned about Assessing and Tuning Industrial Spoken Dialog Systems?. North American Chapter of the Association for Computational Linguistics. 45–48. 3 indexed citations
3.
Suendermann, David, Jackson Liscombe, & Roberto Pieraccini. (2010). How to drink from a fire hose: one person can annoscribe 693 thousand utterances in one month. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 257–260. 3 indexed citations
4.
Suendermann, David, Jackson Liscombe, & Roberto Pieraccini. (2010). Optimize the obvious: Automatic call flow generation. 5370–5373. 2 indexed citations
5.
Purver, Matthew, Patrick G. T. Healey, Roberto Pieraccini, Donna Byron, & Steve Young. (2009). Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 16 indexed citations
6.
André, Elisabeth, Laila Dybkjær, Wolfgang Minker, et al.. (2008). Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems. 1 indexed citations
7.
Paek, Tim & Roberto Pieraccini. (2008). Automating spoken dialogue management design using machine learning: An industry perspective. Speech Communication. 50(8-9). 716–729. 69 indexed citations
8.
Pieraccini, Roberto, et al.. (2005). Experimental comparison among data compression techniques in isolated word recognition. 8. 1025–1028. 8 indexed citations
9.
Gherardi, Francesca & Roberto Pieraccini. (2003). Using information theory to assess dynamics, structure, and organization of crayfish agonistic repertoire. Behavioural Processes. 65(2). 163–178. 16 indexed citations
10.
Lee, C.-H., L. R. Rabiner, Roberto Pieraccini, & J. G. Wilpon. (2002). Acoustic modeling of subword units for speech recognition. International Conference on Acoustics, Speech, and Signal Processing. 73. 721–724. 8 indexed citations
11.
Riccardi, Giuseppe, Enrico Bocchieri, & Roberto Pieraccini. (2002). Non-deterministic stochastic language models for speech recognition. 1. 237–240. 12 indexed citations
12.
Levin, Esther, Shrikanth Narayanan, Roberto Pieraccini, et al.. (2000). The AT&t-DARPA communicator mixed-initiative spoken dialog system.. Conference of the International Speech Communication Association. 122–125. 31 indexed citations
13.
Levin, Esther, Shrikanth Narayanan, Roberto Pieraccini, et al.. (2000). The AT&t-DARPA communicator mixed-initiative spoken dialog system. vol. 2, 122–125. 7 indexed citations
14.
Pieraccini, Roberto, Esther Levin, & Wieland Eckert. (1997). AMICA: the AT&t mixed initiative conversational architecture.. Conference of the International Speech Communication Association. 33 indexed citations
15.
Pieraccini, Roberto, Esther Levin, & Wieland Eckert. (1997). AMICA: the AT&t mixed initiative conversational architecture. 1875–1878. 10 indexed citations
16.
Pieraccini, Roberto, Esther Levin, & Enrique Vidal. (1993). Learning how to understand language. 1407–1412. 18 indexed citations
17.
Levin, Esther & Roberto Pieraccini. (1992). Planar Hidden Markov Modeling: From Speech to Optical Character Recognition. Neural Information Processing Systems. 5. 731–738. 6 indexed citations
18.
Levin, Esther, Roberto Pieraccini, & Enrico Bocchieri. (1991). Time-Warping Network: A Hybrid Framework for Speech Recognition. Neural Information Processing Systems. 4. 151–158. 3 indexed citations
19.
Rabiner, L. R., et al.. (1990). Acoustic modeling for large vocabulary speech recognition. Computer Speech & Language. 4(2). 127–165. 107 indexed citations
20.
Pieraccini, Roberto, et al.. (1987). Three dimensional DP for phonetic lattice matching. PORTO Publications Open Repository TOrino (Politecnico di Torino). 547–551. 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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