34 citations · 111 across the 28 of their papers we have counts for
6 papers · 1 filter
Diverse Audio Embeddings -- Bringing Features Back Outperforms CLAP!
Prateek Verma
With the advent of modern AI architectures, a shift has happened towards end-to-end architectures. This pivot has led to neural architectures being trained without domain-specific…
Neural Architectures Learning Fourier Transforms, Signal Processing and Much More....
Prateek Verma
This report will explore and answer fundamental questions about taking Fourier Transforms and tying it with recent advances in AI and neural architecture. One interpretation of the…
Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries
Prateek Verma, Shan Zhong, Xiaoyu Liu +1
Query autocomplete (QAC) also known as typeahead, suggests list of complete queries as user types prefix in the search box. It is one of the key features of modern search engines s…
Conformer LLMs -- Convolution Augmented Large Language Models
Prateek Verma
This work builds together two popular blocks of neural architecture, namely convolutional layers and Transformers, for large language models (LLMs). Non-causal conformers are used…
Developing Speech Processing Pipelines for Police Accountability
Anjalie Field, Prateek Verma, Nay San +2
Police body-worn cameras have the potential to improve accountability and transparency in policing. Yet in practice, they result in millions of hours of footage that is never revie…
Content Adaptive Front End For Audio Classification
Prateek Verma, Chris Chafe
We propose a learnable content adaptive front end for audio signal processing. Before the modern advent of deep learning, we used fixed representation non-learnable front-ends like…