speechbrain-ic-slu / README.md
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---
library_name: speechbrain
tags:
- audio
- intent classification
datasets:
- fluent_speech_commands_dataset
metrics:
- wer
model-index:
- name: Direct SLU
results:
- task:
type: automatic-speech-recognition
name: Intent Classification
metrics:
- type: wer # Required. Example: wer
value: 7.0 # Required. Example: 20.90
name: Test Wer
---
Speechbrain SLU fine-tuned for Intent Classification
---
Model: Direct SLU
Encoder: Pre-trained ASR encoder -> LSTM
Decoder: GRU + beamsearch
Tokens: BPE with unigram
Data: fluent_speech_commands_dataset (http://140.112.21.28:9000/fluent.tar.gz)
Test wer: 0.07