Multimodal Language Models for End-to-End Automated Speech Recognition Using Bidirectional Recurrent Neural Network

Thayyaba Khatoon Mohammad; Puranam Revanth Kumar; G. Gifta Jerith; Emmenual Reddy

doi:10.1007/978-3-031-84602-1_3

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Multimodal Language Models for End-to-End Automated Speech Recognition Using Bidirectional Recurrent Neural Network

Thayyaba Khatoon Mohammad Puranam Revanth Kumar G. Gifta Jerith Emmenual Reddy

Year: 2025 Communications in computer and information science Pages: 33-47 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-84602-1_3

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Keywords:

Computer science End-to-end principle Artificial neural network Speech recognition Recurrent neural network Artificial intelligence Language model Natural language processing

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Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Multimodal Language Models for End-to-End Automated Speech Recognition Using Bidirectional Recurrent Neural Network

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