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Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting.

, , , , , , , , and . SLT, page 474-480. IEEE, (2016)

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Squashed Weight Distribution for Low Bit Quantization of Deep Models., , and . INTERSPEECH, page 3953-3957. ISCA, (2022)Two Tiered Distributed Training Algorithm for Acoustic Modeling., , , , , and . INTERSPEECH, page 1626-1630. ISCA, (2019)Data Augmentation for Robust Keyword Spotting under Playback Interference., , , , and . CoRR, (2018)Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition., , , , and . CoRR, (2019)Realizing Petabyte Scale Acoustic Modeling., , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (2): 422-432 (2019)The waxholm application database., , , , , , , , , and 3 other author(s). EUROSPEECH, page 833-836. ISCA, (1995)Sparse connection and pruning in large dynamic artificial neural networks.. EUROSPEECH, page 2807-2810. ISCA, (1997)Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets., , , , , , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 364-376. Springer, (2022)Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition., , , , and . ICASSP, page 6640-6644. IEEE, (2019)Lessons from Building Acoustic Models with a Million Hours of Speech., and . ICASSP, page 6670-6674. IEEE, (2019)