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HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. (arXiv:2210.15425v1 [eess.AS])
Oct. 28, 2022, 1:11 a.m. | Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik
cs.LG updates on arXiv.org arxiv.org
Streaming keyword spotting is a widely used solution for activating voice
assistants. Deep Neural Networks with Hidden Markov Model (DNN-HMM) based
methods have proven to be efficient and widely adopted in this space, primarily
because of the ability to detect and identify the start and end of the wake-up
word at low compute cost. However, such hybrid systems suffer from loss metric
mismatch when the DNN and HMM are trained independently. Sequence
discriminative training cannot fully mitigate the loss-metric mismatch …
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