# README for ARECHO Supplimental Material

## Main Structure

```
- code
- paper
  - Interspeech2025_UniVERSA.pdf
      Citation information: "Anonymous. Uni-VERSA: Versatile speech assessment with a unified network. Anonymous submission, 2025. Under submission to Interspeech 2025.""
```

## Code-related Guideline

### Recipe information

Step1: Prepare the installation based on ESPnet installation (https://github.com/espnet/espnet)


Step2: Prepare the data
Apart from the normal espnet data, prepare "metric.scp" in the format of:

```
<uttid1> {"metric1": metric1_value, "metric2": metric2_value, ...}
<uttid2> {"metric1": metric1_value_2, "metric2": metric2_value_2, ...}
```

Step3: Conduct Training/Inference/Scoring
```
cd egs2/universa_unite/uni_versa1

./uni_versa.sh \
    --train_config conf/train_aruniversa.yaml \
    --inference_config conf/decode_universa.yaml \
    --train_set train \
    --valid_set dev \
    --test_sets "test" \
    --use_ref_text false \
    --tokenize_metric true \
    --metric_token_size 500 \
    --metric_token_method percentile \
    --metric_token_percentile_distribution linear \
    --ngpu 1 "$@"

```