Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval
Neural contextual biasing allows speech recognition models to leverage contextually
relevant information, leading to improved transcription accuracy. However, the biasing …
relevant information, leading to improved transcription accuracy. However, the biasing …
Optimizing Dysarthria Wake-Up Word Spotting: an End-to-End Approach For SLT 2024 LRDWWS Challenge
S Liu, Y Kong, P Guo, W Zhuang, P Gao… - 2024 IEEE Spoken …, 2024 - ieeexplore.ieee.org
Speech has emerged as a widely embraced user interface across diverse applications.
However, for individuals with dysarthria, the inherent variability in their speech poses …
However, for individuals with dysarthria, the inherent variability in their speech poses …
Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design
Smart home technology has gained widespread adoption, facilitating effortless control of
devices through voice commands. However, individuals with dysarthria, a motor speech …
devices through voice commands. However, individuals with dysarthria, a motor speech …
Real-time Audio Recognition for Hearing Impaired
M Peddi, SHVH Vardhan, G Peddi… - … For Internet of …, 2024 - ieeexplore.ieee.org
Audio recognition technology has seen significant advancements in recent years, offering
promising solutions to improve communication and accessibility for deaf individuals. This …
promising solutions to improve communication and accessibility for deaf individuals. This …