May 16, 2020 · We propose the convolution-augmented transformer for speech recognition, named Conformer. Conformer significantly outperforms the previous Transformer and CNN ...
Our proposed model, named Conformer, achieves state-of- the-art results on LibriSpeech, outperforming the previous best published Transformer Transducer [7] by ...
Oct 29, 2023 · We propose the convolution-augmented transformer for speech recognition, named Conformer. Conformer significantly outperforms the previous Transformer and CNN ...
Conformer combine convolution neural networks and transformers to model both local and global dependencies of an audio sequence in a parameter-efficient way.
In this work, we study how to combine convolutions and transformers to model both global interactions and the local patterns of an audio sequence in a parameter ...
Conformer: Convolution-augmented Transformer for Speech ...
sh-tsang.medium.com › brief-review-con...
Jun 10, 2024 · A conformer block is composed of four modules stacked together, ie, a feed-forward module, a self-attention module, a convolution module, and a second feed- ...
This work proposes the convolution-augmented transformer for speech recognition, named Conformer, which significantly outperforms the previous Transformer ...
Duration: 12:47
Posted: Mar 24, 2023
Posted: Mar 24, 2023
May 16, 2020 · We propose the convolution-augmented transformer for speech recognition, named Conformer. Conformer significantly outperforms the previous Transformer and CNN ...
Jan 5, 2022 · I implemented Google AI's "Conformer: Convolution-augmented Transformer for Speech Recognition" paper, it achieves the best of both worlds by combining CNNs ...
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