29 citations · 52 across the 24 of their papers we have counts for
8 papers · 1 filter
Balanced Deep CCA for Bird Vocalization Detection
Sumit Kumar, B. Anshuman, Linus Ruettimann +2
Event detection improves when events are captured by two different modalities rather than just one. But to train detection systems on multiple modalities is challenging, in particu…
Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
Audio fingerprinting systems must efficiently and robustly identify query snippets in an extensive database. To this end, state-of-the-art systems use deep learning to generate com…
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
Swapnil Dey, Vipul Arora, Sachchida Nand Tripathi
Air quality monitoring is becoming an essential task with rising awareness about air quality. Low cost air quality sensors are easy to deploy but are not as reliable as the costly…
Deep domain adaptation for polyphonic melody extraction
Kavya Ranjan Saxena, Vipul Arora
Extraction of the predominant pitch from polyphonic audio is one of the fundamental tasks in the field of music information retrieval and computational musicology. To accomplish th…
Attention-Based Audio Embeddings for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
An ideal audio retrieval system efficiently and robustly recognizes a short query snippet from an extensive database. However, the performance of well-known audio fingerprinting sy…
Conditional Normalizing flow for Monte Carlo sampling in lattice scalar field theory
Ankur Singha, Dipankar Chakrabarti, Vipul Arora
The cost of Monte Carlo sampling of lattice configurations is very high in the critical region of lattice field theory due to the high correlation between the samples. This paper s…
Low Degree Testing over the Reals
Vipul Arora, Arnab Bhattacharyya, Noah Fleming +2
We study the problem of testing whether a function is a polynomial of degree at most in the \emph{distribution-free} testing model. Here, the d…
SyncNet: correlating objective for time delay estimation in audio signals
Akshay Raina, Vipul Arora
This study addresses the task of performing robust and reliable time-delay estimation in signals in noisy and reverberating environments. In contrast to the popular signal processi…