Note that S5 with kernel size 10×10 and S6 with kernel size 10×10 are layers in the original network. Layer S5 with kernel size 20×20 was obtained by fixing layers S1 to C4 of the original network; layer S6 with size 5×5 and layer S7 with kernel size 5×5 were obtained by fixing layers S1 to C5 of the original network. The STRF sizes in these layers are indicated in parentheses.</p
Abstract:- Speech recognition over different transmission channels will set demands on the parametri...
A: Histogram of best spectral and temporal modulation frequencies for 241 experimentally recorded ST...
<p>(A) Similarity between decoded responses to the clean sounds (), and the clean sounds' spectrogra...
The mean and standard deviation of decoding accuracies in 20-fold training and testing experiments a...
To obtain the curve for one layer, a total of 16 values were chosen non-uniformly between 0.001 and ...
We study large-scale kernel methods for acoustic modeling in speech recognition and compare their pe...
Recognition accuracy of cellular neural networks with different kernel sizes (a.lr = 0.01; b.lr = 0....
<p>Phoneme frame accuracy of DNN (upper part of the figure) and language recognition systems (lower ...
We show the cases of attacks (filled circles) and failures (open circles) for several thresholds ℓ o...
International audienceThis article analyzes the phonetic decoding performance obtained with differen...
<p>(A) SNR as a function of the number of PCs projected out in subject S1 for the both-hemifield sti...
There is information in speech sounds about the length of the vocal tract; specifically, as a child ...
<p>Phoneme frame accuracy of DNN (upper part of the figure) and language recognition systems (lower ...
In this book, I perform an experimental review on twelve similar types of Convolutional Neural Netwo...
A novel approach for comparing sequences of observations using an explicit-expansion kernel is demon...
Abstract:- Speech recognition over different transmission channels will set demands on the parametri...
A: Histogram of best spectral and temporal modulation frequencies for 241 experimentally recorded ST...
<p>(A) Similarity between decoded responses to the clean sounds (), and the clean sounds' spectrogra...
The mean and standard deviation of decoding accuracies in 20-fold training and testing experiments a...
To obtain the curve for one layer, a total of 16 values were chosen non-uniformly between 0.001 and ...
We study large-scale kernel methods for acoustic modeling in speech recognition and compare their pe...
Recognition accuracy of cellular neural networks with different kernel sizes (a.lr = 0.01; b.lr = 0....
<p>Phoneme frame accuracy of DNN (upper part of the figure) and language recognition systems (lower ...
We show the cases of attacks (filled circles) and failures (open circles) for several thresholds ℓ o...
International audienceThis article analyzes the phonetic decoding performance obtained with differen...
<p>(A) SNR as a function of the number of PCs projected out in subject S1 for the both-hemifield sti...
There is information in speech sounds about the length of the vocal tract; specifically, as a child ...
<p>Phoneme frame accuracy of DNN (upper part of the figure) and language recognition systems (lower ...
In this book, I perform an experimental review on twelve similar types of Convolutional Neural Netwo...
A novel approach for comparing sequences of observations using an explicit-expansion kernel is demon...
Abstract:- Speech recognition over different transmission channels will set demands on the parametri...
A: Histogram of best spectral and temporal modulation frequencies for 241 experimentally recorded ST...
<p>(A) Similarity between decoded responses to the clean sounds (), and the clean sounds' spectrogra...