Jan 4, 2013 · In this work, we combine these two lines of research and demonstrate that word recognition accuracy can be significantly enhanced by arranging ...
The experimental setup and results are presented in Section III, where the long-span temporal patterns used in this work are also introduced. Our findings are ...
It is shown that word recognition accuracy can be significantly enhanced by arranging DNNs in a hierarchical structure to model long-term energy ...
The proposed scheme was found to increase the accuracy of phones and words recognition significantly over the conventional Gaussian mixture model (GMM), by ...
Bibliographic details on Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model.
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Oct 22, 2024 · This paper provides a brief description of the current technology related to speech recognition and its slow adoption of DNN-based approaches.
Sep 6, 2015 · Further, the discriminative cues among separate speech classes are often distributed over a reasonably long temporal span, which often crosses ...
In this work, we propose a Deep Split Temporal Context. (DSTC) structure for DNNs to directly model long temporal contexts. By assuming independence between the ...
Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model · Computer Science. IEEE Signal Processing Letters · 2013.
Speech recognition using long-span temporal patterns in a deep network model. IEEE Signal. Processing Letters, 20(3):201–204, March 2013. [334] G. Sivaram ...