Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech
- Cite this paper as:
- Hermansky H. (2013) Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech. In: Habernal I., Matoušek V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science, vol 8082. Springer, Berlin, Heidelberg
Most emphasis in current deep learning artificial neural network based automatic recognition of speech is put on deep net architectures with multiple sequential levels of processing. . The current work argues that benefits can be also seen in expanding the nets longer in temporal direction, and wider into multiple parallel processing streams.
Keywordsartificial neural networks machine recognition of speech robustness to noise unexpected distortions parallel processing
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