Long short-term memory recurrent neural network architectures for Urdu acoustic modeling

Tehseen Zia; Usman Zahid

doi:10.1007/s10772-018-09573-7

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Long short-term memory recurrent neural network architectures for Urdu acoustic modeling

Tehseen Zia Usman Zahid

Year: 2018 Journal: International Journal of Speech Technology Vol: 22 (1)Pages: 21-30 Publisher: Springer Science+Business Media

DOI: 10.1007/s10772-018-09573-7

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Keywords:

Computer science Recurrent neural network Unavailability Long short term memory Connectionism Speech recognition Word error rate Artificial intelligence Artificial neural network Layer (electronics) Deep learning

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Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Long short-term memory recurrent neural network architectures for Urdu acoustic modeling

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