no code implementations • 14 Mar 2024 • Vipul Arora, Arnab Bhattacharyya, Mathews Boban, Venkatesan Guruswami, Esty Kelman
Furthermore, we show that it is possible to have the run-time be independent of $1/\sigma$, at the cost of a higher sample complexity.
no code implementations • 12 Feb 2024 • Kavya Ranjan Saxena, Vipul Arora
The proposed method is model-agnostic and hence can be applied to other non-adaptive melody extraction models to boost their performance.
no code implementations • 29 Jan 2024 • Vikas Kanaujia, Mathias S. Scheurer, Vipul Arora
Deep generative models complement Markov-chain-Monte-Carlo methods for efficiently sampling from high-dimensional distributions.
no code implementations • 6 Jan 2024 • Nagarathna Ravi, Thishyan Raj T, Vipul Arora
Class-probability-based confidence scores do not accurately represent the quality of overconfident ASR predictions.
no code implementations • 13 Apr 2023 • Vipul Arora, Arnab Bhattacharyya, Clément L. Canonne, Joy Qiping Yang
This paper considers the problem of testing the maximum in-degree of the Bayes net underlying an unknown probability distribution $P$ over $\{0, 1\}^n$, given sample access to $P$.
no code implementations • 20 Nov 2022 • Anup Singh, Kris Demuynck, Vipul Arora
These systems deploy indexing methods, which quantize fingerprints to hash codes in an unsupervised manner to expedite the search.
no code implementations • 17 Nov 2022 • Sumit Kumar, B. Anshuman, Linus Ruettimann, Richard H. R. Hahnloser, Vipul Arora
The key objective of this work is to learn useful embeddings associated with high performance in downstream event detection tasks when labeled data is scarce and the audio events of interest (songbird vocalizations) are sparse.
no code implementations • 22 Oct 2022 • Kavya Ranjan Saxena, Vipul Arora
To accomplish this task using machine learning, a large amount of labeled audio data is required to train the model that predicts the pitch contour.
no code implementations • 16 Oct 2022 • Anup Singh, Kris Demuynck, Vipul Arora
An ideal audio retrieval system efficiently and robustly recognizes a short query snippet from an extensive database.
1 code implementation • 2 Oct 2022 • Swapnil Dey, Vipul Arora, Sachchida Nand Tripathi
Low cost air quality sensors are easy to deploy but are not as reliable as the costly and bulky reference monitors.
1 code implementation • 28 Mar 2022 • Akshay Raina, Vipul Arora
This paper addresses the task of performing robust and reliable time-delay estimation in audio-signals in noisy and reverberating environments.
no code implementations • 29 Sep 2021 • Adhiraj Banerjee, Vipul Arora
Seq2Tok compresses the query and target sequences into short sequences of tokens that are faster to match.
1 code implementation • 2 Aug 2021 • Kalpit Yadav, Vipul Arora, Sonu Kumar Jha, Mohit Kumar, Sachchida Nand Tripathi
Low-cost particulate matter sensors are transforming air quality monitoring because they have lower costs and greater mobility as compared to reference monitors.
no code implementations • 20 Nov 2020 • Shivam Pal, Vipul Arora, Pawan Goyal
In the current work, we present a method of finding prerequisite relations between concepts using related textbooks.
no code implementations • 27 Apr 2015 • Vipul Arora, Laxmidhar Behera, Ajay Pratap Yadav
It is hoped that the proposed algorithm will bring in a lot of interest in researchers working in developing fast learning algorithms and global optimization.