30 citations · 34 across the 4 of their papers we have counts for
5 papers
Wakeword Detection under Distribution Shifts
Sree Hari Krishnan Parthasarathi, Lu Zeng, Christin Jose +1
We propose a novel approach for semi-supervised learning (SSL) designed to overcome distribution shifts between training and real-world data arising in the keyword spotting (KWS) t…
Latency Control for Keyword Spotting
Christin Jose, Joseph Wang, Grant P. Strimel +3
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the user. For user experience and privacy considerations, existing approaches to KW…
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…
Accurate Detection of Wake Word Start and End Using a CNN
Christin Jose, Yuriy Mishchenko, Thibaud Senechal +3
Small footprint embedded devices require keyword spotters (KWS) with small model size and detection latency for enabling voice assistants. Such a keyword is often referred to as \t…