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Conformer PyTorch
Conformer combine convolution neural networks and transformers to model both local and global dependencies of an audio sequence in a parameter-efficient way.
Implementation of the convolutional module from the Conformer paper, for use in Transformers - GitHub - lucidrains/conformer: Implementation of the ...
7天前 — Conformer combine convolution neural networks and transformers to model both local and global dependencies of an audio sequence in a parameter- ...
2020年5月16日 — 7 best model for Speech Recognition on LibriSpeech test-other (Word Error Rate (WER) metric)
作者:A Gulati2020被引用次数:239 — Conformer significantly outperforms the previous Transformer and CNN based models achieving state-of-the-art accuracies. On the widely used ...
PyTorch implementation of Conformer: Convolution … Solving multidimensional PDEs in pytorch Apr 30, 2021 Solving multi-dimensional partial differential ...
PyTorch implementation of Conformer: Convolution-augmented Transformer for Speech Recognition End-to-end ASR/LM implementation with PyTorch. compressai.
在PyTorch Binding 的Transducer Loss 1ytic/warp-rnnt 基础上,我 ... 的方向,基于滴滴的Athena 框架(TensorFlow 2.2)上添加了Conformer 的支持Conformer-Athena。
在PyTorch 和TensorFlow 创建多个Chunk 分别计算的方式是有技巧可言的,我们可以基于原来离线模型的基础上,创建一个时序相关的Mask 来模拟在线生成chunk 的方式,具体 ...
... Conformer speech recognition model (pytorch). ... group = parser.add_argument_group("conformer model specific setting") group ...

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