Code-Mixed Street Address Recognition and Accent Adaptation for Voice-Activated Navigation Services

This study presents the development of a real-time application-specific Automatic Speech Recognition (ASR) system for voice-activated navigation services. The system is designed to recognize Urdu-English code-mixed street addresses, which is challenging due to their complex nature and structure, esp...

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Detalles Bibliográficos

Autores principales:	Syed Meesam Raza Naqvi, Muhammad Ali Tahir, Kamran Javed, Hassan Aqeel Khan, Ali Raza, Zubair Saeed
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2024-01-01
Colección:	IEEE Access
Materias:	Urdu-English code-mixing roman Urdu addresses accent adaptation deep neural network Gaussian mixture models hidden Markov models
Acceso en línea:	https://ieeexplore.ieee.org/document/10750818/
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