87 citations · 174 across the 4 of their papers we have counts for
5 papers
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar +3
In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product atten…
Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar +3
In this work, we propose small footprint Convolutional Recurrent Neural Network models applied to the problem of wakeword detection and augment them with scaled dot product attenti…
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
Ming Sun, Anirudh Raju, George Tucker +6
We propose a max-pooling based loss function for training Long Short-Term Memory (LSTM) networks for small-footprint keyword spotting (KWS), with low CPU, memory, and latency requi…
Independent Component Analysis by Entropy Maximization with Kernels
Zois Boukouvalas, Rami Mowakeaa, Geng-Shen Fu +1
Independent component analysis (ICA) is the most popular method for blind source separation (BSS) with a diverse set of applications, such as biomedical signal processing, video an…
Independent Vector Analysis: Identification Conditions and Performance Bounds
Matthew Anderson, Geng-Shen Fu, Ronald Phlypo +1
Recently, an extension of independent component analysis (ICA) from one to multiple datasets, termed independent vector analysis (IVA), has been the subject of significant research…