Ariya Rastrow

1.5k total citations
54 papers, 955 citations indexed

About

Ariya Rastrow is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Ariya Rastrow has authored 54 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 26 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Ariya Rastrow's work include Speech Recognition and Synthesis (48 papers), Natural Language Processing Techniques (24 papers) and Speech and Audio Processing (20 papers). Ariya Rastrow is often cited by papers focused on Speech Recognition and Synthesis (48 papers), Natural Language Processing Techniques (24 papers) and Speech and Audio Processing (20 papers). Ariya Rastrow collaborates with scholars based in United States, Germany and Czechia. Ariya Rastrow's co-authors include Petr Schwarz, Lukáš Burget, Samuel Thomas, Arnab Ghoshal, Pinar Akyazi, Daniel Povey, Richard C. Rose, Kai Feng, Martin Karafiát and Nagendra Kumar Goel and has published in prestigious journals such as Speech Communication, Computer Speech & Language and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Ariya Rastrow

49 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariya Rastrow United States 16 905 562 59 50 12 54 955
Christian Fuegen United States 12 691 0.8× 427 0.8× 54 0.9× 39 0.8× 19 1.6× 33 789
Kishore Prahallad India 13 735 0.8× 556 1.0× 74 1.3× 88 1.8× 6 0.5× 54 811
Yuya Unno United States 4 789 0.9× 543 1.0× 65 1.1× 43 0.9× 7 0.6× 5 863
Yuan Shangguan United States 8 481 0.5× 305 0.5× 39 0.7× 31 0.6× 17 1.4× 19 543
Vimal Manohar United States 15 1.0k 1.1× 749 1.3× 49 0.8× 48 1.0× 13 1.1× 28 1.1k
Qiantong Xu Israel 7 643 0.7× 311 0.6× 80 1.4× 46 0.9× 11 0.9× 12 730
Kyu J. Han United States 12 371 0.4× 311 0.6× 44 0.7× 50 1.0× 11 0.9× 38 456
Yossi Adi Israel 15 661 0.7× 395 0.7× 121 2.1× 65 1.3× 23 1.9× 56 838
Kushal Lakhotia Israel 10 830 0.9× 456 0.8× 94 1.6× 93 1.9× 9 0.8× 11 950
Adithya Renduchintala United States 6 855 0.9× 544 1.0× 89 1.5× 45 0.9× 8 0.7× 17 934

Countries citing papers authored by Ariya Rastrow

Since Specialization
Citations

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

Fields of papers citing papers by Ariya Rastrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariya Rastrow

This figure shows the co-authorship network connecting the top 25 collaborators of Ariya Rastrow. A scholar is included among the top collaborators of Ariya Rastrow 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 Ariya Rastrow. Ariya Rastrow 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.
Kolehmainen, Jari, Prashanth Gurunath Shivakumar, Yile Gu, et al.. (2024). Multi-Modal Retrieval For Large Language Model Based Speech Recognition. 4435–4446.
2.
Mouchtaris, Athanasios, et al.. (2023). Accelerator-Aware Training for Transducer-Based Speech Recognition. arXiv (Cornell University). 30. 100–107.
3.
Shivakumar, Prashanth Gurunath, Jari Kolehmainen, Yile Gu, et al.. (2023). Discriminative Speech Recognition Rescoring With Pre-Trained Language Models. 1–7.
4.
Gu, Yile, Prashanth Gurunath Shivakumar, Jari Kolehmainen, et al.. (2023). Scaling Laws for Discriminative Speech Recognition Rescoring Models. 471–475. 3 indexed citations
5.
6.
Shivakumar, Prashanth Gurunath, Jari Kolehmainen, Yile Gu, et al.. (2023). Distillation Strategies for Discriminative Speech Recognition Rescoring. 4084–4088. 2 indexed citations
7.
Rastrow, Ariya, et al.. (2022). Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. Interspeech 2022. 3033–3037. 9 indexed citations
8.
Anderson, Bryan, et al.. (2022). On joint training with interfaces for spoken language understanding. Interspeech 2022. 1253–1257. 7 indexed citations
9.
Chang, Feng-Ju, et al.. (2021). Context-Aware Transformer Transducer for Speech Recognition. 503–510. 30 indexed citations
10.
Liu, Linda, et al.. (2021). Domain-Aware Neural Language Models for Speech Recognition. 7373–7377. 7 indexed citations
11.
Huang, Che-Wei, et al.. (2021). Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection. 659–664. 4 indexed citations
12.
Rastrow, Ariya, et al.. (2020). Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces. arXiv (Cornell University). 876–880. 20 indexed citations
13.
14.
Ladhak, Faisal, Ankur Gandhe, Markus Dreyer, et al.. (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. 695–699. 38 indexed citations
15.
Rastrow, Ariya, Sanjeev Khudanpur, & Mark Dredze. (2012). Revisiting the Case for Explicit Syntactic Information in Language Models. North American Chapter of the Association for Computational Linguistics. 50–58. 2 indexed citations
16.
Rastrow, Ariya, Mark Dredze, & Sanjeev Khudanpur. (2012). Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining. Meeting of the Association for Computational Linguistics. 175–183. 4 indexed citations
17.
Rastrow, Ariya, Mark Dredze, & Sanjeev Khudanpur. (2011). Adapting n-gram maximum entropy language models with conditional entropy regularization. 17. 220–225. 4 indexed citations
18.
Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). Subspace Gaussian Mixture Models for speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 124 indexed citations
19.
Rastrow, Ariya, Abhinav Sethy, & Bhuvana Ramabhadran. (2009). Constrained discriminative training of N-gram language models. 1. 311–316. 5 indexed citations
20.
Rastrow, Ariya, Abhinav Sethy, & Bhuvana Ramabhadran. (2009). A new method for OOV detection using hybrid word/fragment system. 3953–3956. 41 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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