Oct 15, 2019 · Abstract:Despite significant efforts over the last few years to build a robust automatic speech recognition (ASR) system for different ...
Therefore, we focus on study- ing the large-receptive field networks for acoustic modeling, especially for distant speech recognition. 3. METHODS. In this ...
This study investigates variants of large receptive field CNNs (LRF-CNNs) which include deeply recursive networks, dilated convolutional neural networks, ...
Our experiments show that with fixed number of parameters across all architectures, the large receptive field networks show consistent improvements over the ...
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Paper Title, Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition ; Authors, Salar Jafarlou Jafarlou, Soheil Khorram, Vinay ...
In the present study, we address this issue by investigating variants of large receptive field CNNs (LRF-CNNs) which include deeply recursive networks, dilated ...
PDF | We investigate convolutional neural networks (CNNs) for large vocabulary distant speech recognition, trained using speech recorded from a single.
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition ... In the present study, we address this issue by investigating variants of ...
Analysis of dereverberation performance depending on the model size and the RF of Temporal convolutional net-works shows that a larger RF can have ...
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Jun 15, 2022 · We generalize our proposed receptive field searching method to multiple tasks on both temporal and spatial dimensions, i.e., speech synthesis,.