Desh Raj

826 total citations
27 papers, 279 citations indexed

About

Desh Raj is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Desh Raj has authored 27 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Desh Raj's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Desh Raj is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Desh Raj collaborates with scholars based in United States, India and Italy. Desh Raj's co-authors include Sanjeev Khudanpur, Shinji Watanabe, Zili Huang, Daniel Povey, Leibny Paola Garcia, Zhuo Chen, Hakan Erdoğan, Ashish Anand, John R. Hershey and Scott Wisdom and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Desh Raj

24 papers receiving 268 citations

Peers

Desh Raj

AI

SP

CM

MB

CSE

Michael Wohlmayr Austria

Luca Rigazio United States

N. Dixon United States

Chun‐Chen Tu United States

Carlton Downey New Zealand

Ziqiang Zhang China

Barry Chen United States

Feilong Bao China

Michael Wohlmayr Austria

Desh Raj

166 ×0.7

AI

241 ×1.3

SP

71 ×3.7

CM

7 ×0.4

MB

7 ×0.6

CSE

Citations per year, relative to Desh Raj Desh Raj (= 1×) peers Michael Wohlmayr

Countries citing papers authored by Desh Raj

Since Specialization

Citations

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

Fields of papers citing papers by Desh Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Desh Raj

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Raj, Desh, Gil Keren, Junteng Jia, Jay Mahadeokar, & Ozlem Kalinli. (2025). Faster Speech-LLaMA Inference with Multi-token Prediction. 1–5.

2.

Raj, Desh, et al.. (2024). Training Early-Exit Architectures for Automatic Speech Recognition: Fine-Tuning Pre-Trained Models or Training from Scratch. 685–689. 1 indexed citations

3.

Raj, Desh, et al.. (2024). On Speaker Attribution with SURT. 91–98. 1 indexed citations

4.

Raj, Desh, et al.. (2024). Enhancing Neural Transducer for Multilingual ASR with Synchronized Language Diarization. 3994–3998.

5.

Cornell, Samuele, Shinji Watanabe, Desh Raj, et al.. (2023). The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. 1–6. 31 indexed citations

6.

Raj, Desh, Daniel Povey, & Sanjeev Khudanpur. (2023). GPU-accelerated Guided Source Separation for Meeting Transcription. 23 indexed citations

7.

H, Xu, et al.. (2023). Learning From Flawed Data: Weakly Supervised Automatic Speech Recognition. 1–8. 2 indexed citations

8.

Raj, Desh, Junteng Jia, Jay Mahadeokar, et al.. (2023). Anchored Speech Recognition with Neural Transducers. 1–5. 1 indexed citations

9.

Cornell, Samuele, et al.. (2023). Low-Latency Speech Separation Guided Diarization for Telephone Conversations. 641–646. 6 indexed citations

10.

Raj, Desh, Daniel Povey, & Sanjeev Khudanpur. (2023). SURT 2.0: Advances in Transducer-Based Multi-Talker Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3800–3813. 6 indexed citations

11.

Wiesner, Matthew, Desh Raj, & Sanjeev Khudanpur. (2022). Injecting Text and Cross-Lingual Supervision in Few-Shot Learning from Self-Supervised Models. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4. 8597–8601. 3 indexed citations

12.

Raj, Desh, Liang Lu, Zhuo Chen, Yashesh Gaur, & Jinyu Li. (2022). Continuous Streaming Multi-Talker ASR with Dual-Path Transducers. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7317–7321. 14 indexed citations

13.

Raj, Desh, et al.. (2021). Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker. 3555–3559. 19 indexed citations

14.

Žmolíková, Kateřina, Marc Delcroix, Desh Raj, Shinji Watanabe, & Jaň Černocký. (2021). Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker Characteristics. 1464–1468. 7 indexed citations

15.

Wiesner, Matthew, Mousmita Sarma, Ashish Arora, et al.. (2021). Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition. 2906–2910. 3 indexed citations

16.

Raj, Desh, et al.. (2017). Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. 311–321. 23 indexed citations

17.

Gupta, Aditya, et al.. (2017). Uncertain fuzzy self-organization based clustering: interval type-2 fuzzy approach to adaptive resonance theory. Information Sciences. 424. 69–90. 9 indexed citations

18.

Raj, Desh, et al.. (2017). Analysis of Data Generated From Multidimensional Type-1 and Type-2 Fuzzy Membership Functions. IEEE Transactions on Fuzzy Systems. 26(2). 681–693. 8 indexed citations

19.

Raj, Desh, et al.. (2016). Visual analysis and representations of type-2 fuzzy membership functions. 16. 550–554. 2 indexed citations

20.

Raj, Desh, et al.. (2002). Disparity estimation from a stereo pairs using recurrent neural network. 5. 3896–3901. 1 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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