Tara N. Sainath

173 papers receiving 16.0k citations

Hit Papers

Deep Neural Networks for Acoustic Modeling in Speech Reco...2011202620162021201220122015201320132.0k4.0k6.0k

Peers

Tara N. Sainath
Comparison fields: 5 of 204
  • Artificial Intelligence 11.5k
  • Signal Processing 7.6k
  • Computer Vision and Pattern Recognition 3.2k
  • Electrical and Electronic Engineering 1.4k
  • Control and Systems Engineering 718
Replace Brian Kingsbury with:
Brian Kingsbury United States
Abdelrahman Mohamed United States
Andrew Senior United States
George E. Dahl United States
Navdeep Jaitly United States
Dong Yu United States
Li Deng United States
Oriol Vinyals United States
Sanjeev Khudanpur United States
Biing‐Hwang Juang United States
Tara N. Sainath relative to Brian Kingsbury United States Brian Kingsbury's profile →
Citations per field
00.5×1.5×2.0×
Brian Kingsbury · 1×
Citations per year

Countries citing papers authored by Tara N. Sainath

Since Specialization
Citations

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

Fields of papers citing papers by Tara N. Sainath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara N. Sainath. 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 Tara N. Sainath. The network helps show where Tara N. Sainath may publish in the future.

Co-authorship network of co-authors of Tara N. Sainath

This figure shows the co-authorship network connecting the top 25 collaborators of Tara N. Sainath. A scholar is included among the top collaborators of Tara N. Sainath 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 Tara N. Sainath. Tara N. Sainath 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
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 1
6
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling
5
7 107
8 95
9 178
10 78
11
Convolutional neural networks for small-footprint keyword spottingbreakdown →
318
12
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networksbreakdown →
1080
13 76
14 47
15 50
16
Deep Convolutional Neural Networks for Large-scale Speech Tasksbreakdown →
364
17
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targetsbreakdown →
344
18
Deep convolutional neural networks for LVCSRbreakdown →
723
19
Deep Neural Networks for Acoustic Modeling in Speech Recognitionbreakdown →
1169
20 138

About Tara N. Sainath

Tara N. Sainath is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 180 papers that have together received 17.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (144 papers), Speech and Audio Processing (103 papers) and Music and Audio Processing (83 papers). The work is most often cited by research in Signal Processing (7.6k citations), Artificial Intelligence (11.5k citations) and Computer Vision and Pattern Recognition (3.2k citations). Tara N. Sainath has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Brian Kingsbury, George E. Dahl, Geoffrey E. Hinton, Andrew Senior, Abdelrahman Mohamed, Navdeep Jaitly, Patrick Nguyen, Dong Yu, Li Deng and Vincent Vanhoucke. Their work appears in journals such as IEEE Signal Processing Magazine, Neural Networks and IEEE Transactions on Parallel and Distributed Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026