This study addresses the challenges of low accuracy and high computational demands in Tibetan speech recognition by investigating the application of end-to-end networks. We propose a decoding strategy that integrates Connectionist Temporal Classification (CTC) and Attention mechanisms. capitalizing on the benefits of automatic alignment and attention weight extraction. The Conformer a... https://www.jmannino.com/quick-save-Lax-aire-3-oz-great-buy/
MPSA-Conformer-CTC/Attention: A High-Accuracy, Low-Complexity End-to-End Approach for Tibetan Speech Recognition
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