The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology

The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology

Abstract In order to face the uncertainty and semantic complexity of speech signals in real-time interactive scenes and achieve more efficient and accurate speech recognition results, this study proposes a Dynamic Adaptive Transformer for Real-Time Speech Recognition (DATR-SR) model. The study is ba...

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Bibliographic Details
Main Authors: Ping Li, Can Yang, Lei Mao
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Speech recognition
Real-time interactive scene
Transformer end-to-end model
DATR-SR
Emotional socialization
Online Access:https://doi.org/10.1038/s41598-025-02904-0
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https://doi.org/10.1038/s41598-025-02904-0

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