DNN-HMM statistics

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DNN-HMM specifications


Unique identifier OMICS_10668
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB, Perl
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Wenjie Shu <>

Publication for DNN-HMM

DNN-HMM in publications

PMCID: 5806888
PMID: 29425248
DOI: 10.1371/journal.pone.0192684

[…] distribution because of its superior recognition performance. in this paper, the hmm that uses the gmm as the output distribution is referred to as gmm-hmm, and the one that uses dnn is termed dnn-hmm., an n-gram is a probability model for a discrete symbol sequence such as a character or word sequence. suppose w = {w1, w2, ⋯, wl} is a symbol sequence with length l. by recursively applying […]

PMCID: 4660085
PMID: 26606168
DOI: 10.1186/1472-6947-15-S4-S2

[…] are conventional 39-d mfcc. in the prototype of combining dnn and hmm, dnn is used to calculate observation probebility, and hmm is used to decode the temporal structure. the training process for a dnn-hmm system is shown in figure ., the raw feature extracted in this work was 39d mel frequency cpestral coefficients (mfcc). mfcc is a wildly used feature set in audio analysis works. firstly, […]

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DNN-HMM institution(s)
Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China
DNN-HMM funding source(s)
This work was supported by grants from the Major Research plan of the National Natural Science Foundation of China (No. U1435222), the Program of International S&T Cooperation (No. 2014DFB30020) and the National High Technology Research and Development Program of China (No. 2015AA020108).

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