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The word-spotting task is analogous to text-based infor- marion retrieval tasks and message-understanding tasks in that an exhaustive accounting of the input is not required: only a useful subset of …...

We explore the impact of morpholog- ical segmentation on keyword spotting (KWS). Despite potential benefits, state- of-the-art KWS systems do not use mor- phological information. In this paper, we augment …...

AbstractSpeech information in a pretrained wav2vec2.0 model is usually leveraged through its encoder, which has at least 95M parameters, being not so suitable for small footprint Keyword Spotting. In this …...

In this paper, we explore compact convolutional neural networks (CNNs) for end-to-end key- word spotting from raw audio to final recogni- tion results, without using traditional feature extraction based on …...