hynt commited on
Commit
273510b
·
verified ·
1 Parent(s): 220c3ca

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -10,7 +10,7 @@ model_name: EfficientConformerVietnamese
10
  language: vi
11
  ---
12
 
13
- # Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition [Paper](https://arxiv.org/abs/2109.01163)**
14
 
15
  ## Efficient Conformer Encoder
16
  Inspired from previous works done in Automatic Speech Recognition and Computer Vision, the Efficient Conformer encoder is composed of three encoder stages where each stage comprises a number of Conformer blocks using grouped attention. The encoded sequence is progressively downsampled and projected to wider feature dimensions, lowering the amount of computation while achieving better performance. Grouped multi-head attention reduce attention complexity by grouping neighbouring time elements along the feature dimension before applying scaled dot-product attention.
 
10
  language: vi
11
  ---
12
 
13
+ # Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition [Paper](https://arxiv.org/abs/2109.01163)
14
 
15
  ## Efficient Conformer Encoder
16
  Inspired from previous works done in Automatic Speech Recognition and Computer Vision, the Efficient Conformer encoder is composed of three encoder stages where each stage comprises a number of Conformer blocks using grouped attention. The encoded sequence is progressively downsampled and projected to wider feature dimensions, lowering the amount of computation while achieving better performance. Grouped multi-head attention reduce attention complexity by grouping neighbouring time elements along the feature dimension before applying scaled dot-product attention.