Search Results for author: Anish Shah

Found 3 papers, 1 papers with code

Towards Data-efficient Modeling for Wake Word Spotting

no code implementations13 Oct 2020 Yixin Gao, Yuriy Mishchenko, Anish Shah, Spyros Matsoukas, Shiv Vitaladevuni

Wake word (WW) spotting is challenging in far-field not only because of the interference in signal transmission but also the complexity in acoustic environments.

Data Augmentation

Accurate Detection of Wake Word Start and End Using a CNN

no code implementations9 Aug 2020 Christin Jose, Yuriy Mishchenko, Thibaud Senechal, Anish Shah, Alex Escott, Shiv Vitaladevuni

In this paper, we propose two new methods for detecting the endpoints of wake words in neural KWS that use single-stage word-level neural networks.

Deep Residual Networks with Exponential Linear Unit

1 code implementation14 Apr 2016 Anish Shah, Eashan Kadam, Hena Shah, Sameer Shinde, Sandip Shingade

These very deep models have lead to a considerable decrease in test errors, on benchmarks like ImageNet and COCO.

Image Classification

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