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LoRA-INT8 Whisper: A Low-Cost Cantonese Speech Recognition Framework for Edge Devices

To address the triple bottlenecks of data scarcity, oversized models, and slow inference that hinder Cantonese automatic speech recognition (ASR) in low-resource and edge-deployment settings, this study proposes a cost-effective Cantonese ASR system based on LoRA fine-tuning and INT8 quantization. F...

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Autori principali: Lusheng Zhang, Shie Wu, Zhongxun Wang
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-09-01
Serie:Sensors
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Accesso online:https://www.mdpi.com/1424-8220/25/17/5404
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