Re:Deep Learning ‘ahem’ detector
by skoocda on Tuesday November 08, 2016 @09:29PM
(#12905657)
Pretty much SOA; most end-to-end systems use these spectrograms on short time slices. The alternative is mel-frequency cepstral coefficients, which are used more in GMM-HMM speech recognition than for DNN.
[ Parent
| on HN ]
For other illiterates like me:
* SOA = state of the art
* GMM-HMM = Gaussian mixture model - Hidden markov model
* DNN = deep neural networks (more than 1 hidden layer)
* mel-frequency cepstral = MFC ;-)
Re:Deep Learning ‘ahem’ detector
by kwhitefoot on Wednesday November 09, 2016 @06:17AM
(#12909265)
Could sum1 write a GM script to replace all abbr.s with their ffs? The over use of abbr.s is one of the most XABs on Hacker News.
Could someone write a Grease Monkey script to replace all abbreviations with their full forms? The over use of abbreviations is one of the most extremely annoying behaviours on Hacker News.
(Thank you https://www.allacronyms.com/aa-search?q=annoying&cx=01082138...)
How does this work when the spectrogram is finite time slice?!
Lots of overlapping. It's a sliding window function. Ballpark for most algorithms: 10 ms of new audio, 90 ms of old audio.