This paper presents a novel Conversational Automatic Speech Recognition (ASR) system that extends the Conformer encoder-decoder model with cross-modal conversational representation. The approach combines pre-trained speech and text models through…
Continue readingThe article presents a novel method for efficient Conformer-based end-to-end automatic speech recognition. The Conformer block uses a self-attention mechanism to capture global information and a convolutional neural network to…
Continue readingThe article discusses a new approach to enhance end-to-end automatic speech recognition (ASR). The authors propose adding a memory-augmented neural network between the encoder and decoder of a conformer, an…
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