Yatharth Saraf

857 total citations · 1 hit paper
17 papers, 459 citations indexed

About

Yatharth Saraf is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yatharth Saraf has authored 17 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yatharth Saraf's work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (8 papers) and Music and Audio Processing (7 papers). Yatharth Saraf is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (8 papers) and Music and Audio Processing (7 papers). Yatharth Saraf collaborates with scholars based in United States, India and Israel. Yatharth Saraf's co-authors include Kritika Singh, Andros Tjandra, Alexis Conneau, Michael Auli, Alexei Baevski, Qiantong Xu, Naman Goyal, Juan Pino, Patrick von Platen and Changhan Wang and has published in prestigious journals such as International Journal of Computer Mathematics, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

In The Last Decade

Yatharth Saraf

16 papers receiving 425 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

2022 266 citations Arun Babu, Changhan Wang et al. Interspeech 2022 profile →

Peers

Countries citing papers authored by Yatharth Saraf

Since Specialization

Citations

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

Fields of papers citing papers by Yatharth Saraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yatharth Saraf

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Chunxi Liu, Michael Picheny, Leda Sarı, (unknown), Alex Xiao, Xiaohui Zhang, Mark Chou, Andrés Alvarado, Caner Hazırbaş, Yatharth Saraf	10
2	XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale breakdown → 2022 ·Interspeech 2022 ·Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli	266
3	Improved Language Identification Through Cross-Lingual Self-Supervised Learning 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Andros Tjandra, (unknown), Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, (unknown), Yatharth Saraf, Michael Auli	25
4	Scaling ASR Improves Zero and Few Shot Learning 2022 ·Interspeech 2022 ·(unknown), Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed	5
5	Conformer-Based Self-Supervised Learning For Non-Speech Audio Tasks 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf	5
6	Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion 2021 ·Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer	44
7	Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR 2021 ·Xiaohui Zhang, Frank Zhang, Chunxi Liu, (unknown), Julian Chan, (unknown), Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig	14
8	Improving RNN Transducer Based ASR with Auxiliary Tasks 2021 ·Chunxi Liu, Feida Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig	18
9	On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models 2021 ·(unknown), Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer	7
10	A Multi-View Approach to Audio-Visual Speaker Verification 2021 ·Leda Sarı, Kritika Singh, (unknown), Lorenzo Torresani, Nayan Singhal, Yatharth Saraf	28
11	Multilingual Graphemic Hybrid ASR with Massive Data Augmentation. 2020 ·Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig	5
12	Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model 2020 ·Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig	8
13	Relevance Ranking for Real-Time Tweet Search 2020 ·Yan Xia, Yu Sun, Tian Wang, (unknown), Jinliang Fan, (unknown), Lisa Huang, Yatharth Saraf	1
14	Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces 2020 ·Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig	17
15	Multilingual ASR with Massive Data Augmentation. 2019 ·Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig	0
16	Algorithms for Image Segmentation 2006 ·Yatharth Saraf	3
17	A classical approach for thinning of binary images using divergence of the potential field 2005 ·International Journal of Computer Mathematics ·Yatharth Saraf, Rajasekhar Balasubramanian‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, K. Swaminathan	3

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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