Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting. - Khursheed, Mohammad Omar; Jose, Christin; Kumar, Rajath; Fu, Gengshen; Kulis, Brian; Cheekatmalla, Santosh Kumar (2021)

Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting. - Khursheed, Mohammad Omar; Jose, Christin; Kumar, Rajath; Fu, Gengshen; Kulis, Brian; Cheekatmalla, Santosh Kumar (CoRR, 2021)

An Audio-Based Wakeword-Independent Verification System. - Wang, Joe; Kumar, Rajath; Rodehorst, Mike; Kulis, Brian; Vitaladevuni, Shiv Naga Prasad (2020)

Building a Robust Word-Level Wakeword Verification Network. - Kumar, Rajath; Rodehorst, Mike; Wang, Joe; Gu, Jiacheng; Kulis, Brian (2020)

Music Source Activity Detection and Separation Using Deep Attractor Network. - Kumar, Rajath; Luo, Yi; Mesgarani, Nima (2018)

On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification. - Kumar, Rajath; Yeruva, Vaishnavi; Ganapathy, Sriram (2018)

Multi-task Learning for Continuous Control. - Arora, Himani; Kumar, Rajath; Krone, Jason; Li, Chong (CoRR, 2018)

Deep learning methods for unsupervised acoustic modeling - Leap submission to ZeroSpeech challenge 2017. - Ansari, T. K.; Kumar, Rajath; Singh, Sonali; Ganapathy, Sriram (2017)

Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. - Ansari, T. K.; Kumar, Rajath; Singh, Sonali; Ganapathy, Sriram; Devi, V. Susheela (2017)

Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. - Kumar, Rajath; Vadhiyar, Sathish (2014)

Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. - Kumar, Rajath; Vadhiyar, Sathish (2012)