9 citations · 29 across the 20 of their papers we have counts for
6 papers · 1 filter
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
Prateek Verma, Jonathan Berger
We present a framework to model the perceived quality of audio signals by combining convolutional architectures, with ideas from classical signal processing, and describe an approa…
Ranking sentences from product description & bullets for better search
Prateek Verma, Aliasgar Kutiyanawala, Ke Shen
Products in an ecommerce catalog contain information-rich fields like description and bullets that can be useful to extract entities (attributes) using NER based systems. However,…
Understanding and Classifying Cultural Music Using Melodic Features Case Of Hindustani, Carnatic And Turkish Music
Amruta Vidwans, Prateek Verma, Preeti Rao
We present a melody based classification of musical styles by exploiting the pitch and energy based characteristics derived from the audio signal. Three prominent musical styles we…
End-to-End Spoken Language Translation
Michelle Guo, Albert Haque, Prateek Verma
In this paper, we address the task of spoken language understanding. We present a method for translating spoken sentences from one language into spoken sentences in another languag…
Neuralogram: A Deep Neural Network Based Representation for Audio Signals
Prateek Verma, Chris Chafe, Jonathan Berger
We propose the Neuralogram -- a deep neural network based representation for understanding audio signals which, as the name suggests, transforms an audio signal to a dense, compact…
Audio-Linguistic Embeddings for Spoken Sentences
Albert Haque, Michelle Guo, Prateek Verma +1
We propose spoken sentence embeddings which capture both acoustic and linguistic content. While existing works operate at the character, phoneme, or word level, our method learns l…