With the advent of modern AI architectures, a shift has happened towards...
This report will explore and answer fundamental questions about taking
F...
Query autocomplete (QAC) also known as typeahead, suggests list of compl...
This work builds together two popular blocks of neural architecture, nam...
Police body-worn cameras have the potential to improve accountability an...
We propose a learnable content adaptive front end for audio signal
proce...
The acoustic space in which a sound is created and heard plays an essent...
Creating a complex work of art like music necessitates profound creativi...
Every sound that we hear is the result of successive convolutional opera...
Modeling long-term dependencies for audio signals is a particularly
chal...
This paper presents a way of doing large scale audio understanding witho...
This paper proposes a novel way of doing audio synthesis at the waveform...
Over the past two decades, CNN architectures have produced compelling mo...
Human-robot interactions are less efficient and communicative than
human...
In this paper, we present a framework for contrastive learning for audio...
We propose a system that learns from artistic pairings of music and
corr...
In this paper we aim to learn meaningful representations of sung intonat...
Networked Music Performance (NMP) is envisioned as a potential game chan...
Audio perception is a key to solving a variety of problems ranging from
...
We present a framework to model the perceived quality of audio signals b...
Products in an ecommerce catalog contain information-rich fields like
de...
We present a melody based classification of musical styles by exploiting...
In this paper, we address the task of spoken language understanding. We
...
We propose the Neuralogram – a deep neural network based representation ...
We propose spoken sentence embeddings which capture both acoustic and
li...
Query Understanding is a semantic search method that can classify tokens...
We present an end-to-end method for transforming audio from one style to...
There has been fascinating work on creating artistic transformations of
...