"Explore the innovative approach of End-to-End User-Defined Keyword Spotting using Shifted Delta Coefficients for large-vocabulary continuous speech recognition and ASR-free systems. Learn about dynamic sequence partitioning and attention-based cross-modal matching. Dive into the method's speech features, including Mel Spectrogram and Mel-Frequency Cepstral Coefficients. Discover the dataset details of LibriPhrase and Google Speech Commands for training and testing. Unveil the advanced techniques and models like Bi-GRU and Pretrained Tacotron 2 for audio and text encoding. Enhance your understanding of Pattern Extractor and Discriminator components for efficient keyword spotting."
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Dataset LibriPhrase Train train-clean-100 train-clean-360 Test train-others-500 Episodes 4391 2605 467 56 Each episode has three positive and three negative pairs Negative samples are categorized into LibriPhrase Easy (LPE) and LibriPhrase Hard (LPH) based on Levenshtein distance Google Speech Commands V1 Qualcomm Keyword Speech
