---
license: mit
pipeline_tag: feature-extraction
tags:
- wav2vec2
- conformer
- speech
datasets:
- openslr/librispeech_asr
language:
- en
---

# wav2vec2-conformer-base

## Dataset
- [librispeech](https://www.openslr.org/12)

## Framework
- [faiseq](https://github.com/facebookresearch/fairseq)

## Model Info
```
model:
  _name: wav2vec2
  quantize_targets: true
  final_dim: 256
  encoder_layerdrop: 0.05
  dropout_input: 0.1
  dropout_features: 0.1
  feature_grad_mult: 0.1
  
  encoder_layers: 12
  encoder_embed_dim: 768
  encoder_ffn_embed_dim: 3072
  encoder_attention_heads: 12
  
  layer_type: conformer
  attn_type: espnet
  pos_enc_type: rel_pos
```


This model is use in [emotion-conformer](https://github.com/poyu39/emotion-conformer)