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

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

<p dir="ltr">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 comp...

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Bibliographic Details
Main Author: Syed Meesam Raza Naqvi (22225462) (author)
Other Authors: Muhammad Ali Tahir (6640979) (author), Kamran Javed (21726248) (author), Hassan Aqeel Khan (22225465) (author), Ali Raza (3558965) (author), Zubair Saeed (19325647) (author)
Published: 2024
Subjects:
Engineering
Electronics, sensors and digital hardware
Information and computing sciences
Machine learning
Urdu-English code-mixing
roman Urdu addresses
accent adaptation
deep neural network
Gaussian mixture models
hidden Markov models
voice-activated navigation
Speech recognition
Acoustics
Vocabulary
Speech coding
Real-time systems
Navigation
Long short term memory
Error analysis
Switches
Natural language processing
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