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Found 6 papers, 0 papers with code
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Inspired by this analysis, we propose a novel algorithm called Progressive Rescaling Gradient Descent (PRGD) and show that PRGD can maximize the margin at an {\em exponential rate}.
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
This paper explores the integration of Large Language Models (LLMs) into Automatic Speech Recognition (ASR) systems to improve transcription accuracy.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
MAC: A unified framework boosting low resource automatic speech recognition
Furthermore, in the ASR task, MAC beats wav2vec2 (with fine-tuning) on common voice datasets of Cantonese and gets really competitive results on common voice datasets of Taiwanese and Japanese.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture
Transformers have achieved great success in machine translation, but transformer-based NMT models often require millions of bilingual parallel corpus for training.
Why the pseudo label based semi-supervised learning algorithm is effective?
The core idea of the pseudo label based semi-supervised learning algorithm is to use the model trained on the labeled data to generate pseudo labels on the unlabeled data, and then train a model to fit the previously generated pseudo labels.
SAN: a robust end-to-end ASR model architecture
In this paper, we propose a novel Siamese Adversarial Network (SAN) architecture for automatic speech recognition, which aims at solving the difficulty of fuzzy audio recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
