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Daily activity recognition based on DNN using environmental sound and acceleration signals.

, , , and . EUSIPCO, page 2306-2310. IEEE, (2015)

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A multimedia corpus of driving behaviors., , , , and . MMSP, page 1-6. IEEE, (2009)Modeling Driver Risk Perception on City Roads Using Deep Learning., , , , and . IEEE Access, (2018)Development of VAD evaluation framework CENSREC-1-C and investigation of relationship between VAD and speech recognition performance., , , , , , , , , and 6 other author(s). ASRU, page 607-612. IEEE, (2007)Noisy speech recognition using blind spatial subtraction array technique and deep bottleneck features., , and . APSIPA, page 1-5. IEEE, (2014)Spoken document retrieval using both word-based and syllable-based document spaces with latent semantic indexing., , , , and . APSIPA, page 1-5. IEEE, (2013)Daily activity recognition based on acoustic signals and acceleration signals estimated with Gaussian process., , and . APSIPA, page 279-282. IEEE, (2015)Development of Micro-Dodecahedral Loudspeaker for Measuring Head-Related Transfer Functions in The Proximal region., , , and . ICASSP (5), page 329-332. IEEE, (2006)Synthesis of car noise based on a composition of engine noise and friction noise., , , and . ICASSP, page 2105-2108. IEEE, (2002)Music staging AI., , and . ICASSP, page 6588-6589. IEEE, (2017)Balancing acoustic and linguistic probabilities., , and . ICASSP, page 181-184. IEEE, (1998)