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JODAL: Joint Domain Adversarial Learning for TTS-Augmented Automatic Speech Recognition

Despite the rapid advancements in deep learning techniques, the scarcity of task-specific labeled data remains a significant challenge in automatic speech recognition (ASR). While data augmentation approaches and large-scale pretrained speech foundation models have shown promise in mitigating these...

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Hlavní autoři: June-Woo Kim, Ho-Young Jung
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2026-05-01
Edice:Mathematics
Témata:
automatic speech recognition
text-to-speech
domain adaptation
data augmentation
synthetic data
deep learning applications
On-line přístup:https://www.mdpi.com/2227-7390/14/10/1669
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