12 citations · 36 across the 9 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.SD2016★ 2 cited
Learning Filter Banks Using Deep Learning For Acoustic Signals
Shuhui Qu, Juncheng Li, Wei Dai +1
Designing appropriate features for acoustic event recognition tasks is an active field of research. Expressive features should both improve the performance of the tasks and also be…
cs.SD2016★ 10 cited
Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms
Shuhui Qu, Juncheng Li, Wei Dai +1
One key step in audio signal processing is to transform the raw signal into representations that are efficient for encoding the original information. Traditionally, people transfor…
cs.SD2016★ 7 cited
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai, Chia Dai, Shuhui Qu +2
Learning acoustic models directly from the raw waveform data with minimal processing is challenging. Current waveform-based models have generally used very few (~2) convolutional l…