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## Evaluation
### Dependencies
```bash
apt-get update
apt-get install openjdk-8-jdk
pip install evaluate
pip install sacrebleu==1.5.1
pip install edit_distance
pip install editdistance
pip install jiwer
pip install scikit-image
pip install textdistance
pip install sed_eval
pip install more_itertools
pip install zhconv
```
### ASR
- Data
> LibriSpeech: https://www.openslr.org/12
> Aishell2: https://www.aishelltech.com/aishell_2
> common voice 15: https://commonvoice.mozilla.org/en/datasets
> Fluers: https://huggingface.co/datasets/google/fleurs
```bash
mkdir -p data/asr && cd data/asr
# download audios from above links
# download converted files
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/librispeech_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/aishell2_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/cv15_asr_en_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/cv15_asr_zh_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/cv15_asr_yue_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/cv15_asr_fr_eval.jsonl
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/fleurs_asr_zh_eval.jsonl
cd ../..
```
```bash
for ds in "librispeech" "aishell2" "cv15_en" "cv15_zh" "cv15_yue" "cv15_fr" "fluers_zh"
do
python -m torch.distributed.launch --use_env \
--nproc_per_node ${NPROC_PER_NODE:-8} --nnodes 1 \
evaluate_asr.py \
--checkpoint $checkpoint \
--dataset $ds \
--batch-size 20 \
--num-workers 2
done
```
### S2TT
- Data
> CoVoST 2: https://github.com/facebookresearch/covost
```bash
mkdir -p data/st && cd data/st
# download audios from https://commonvoice.mozilla.org/en/datasets
# download converted files
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/covost2_eval.jsonl
cd ../..
```
- Evaluate
```bash
ds="covost2"
python -m torch.distributed.launch --use-env \
--nproc_per_node ${NPROC_PER_NODE:-8} --nnodes 1 \
evaluate_st.py \
--checkpoint $checkpoint \
--dataset $ds \
--batch-size 8 \
--num-workers 2
```
### SER
- Data
> MELD: https://affective-meld.github.io/
```bash
mkdir -p data/ser && cd data/ser
# download MELD datasets from above link
# download converted files
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/meld_eval.jsonl
cd ../..
```
- Evaluate
```bash
ds="meld"
python -m torch.distributed.launch --use-env \
--nproc_per_node ${NPROC_PER_NODE:-8} --nnodes 1 \
evaluate_emotion.py \
--checkpoint $checkpoint \
--dataset $ds \
--batch-size 8 \
--num-workers 2
```
### VSC
- Data
> VocalSound: https://github.com/YuanGongND/vocalsound
```bash
mkdir -p data/vsc && cd data/vsc
# download dataset from the above link
# download converted files
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/vocalsound_eval.jsonl
cd ../..
```
- Evaluate
```bash
ds="vocalsound"
python -m torch.distributed.launch --use-env \
--nproc_per_node ${NPROC_PER_NODE:-8} --nnodes 1 \
evaluate_aqa.py \
--checkpoint $checkpoint \
--dataset $ds \
--batch-size 8 \
--num-workers 2
```
### AIR-BENCH
- Data
> AIR-BENCH: https://huggingface.co/datasets/qyang1021/AIR-Bench-Dataset
```bash
mkdir -p data/airbench && cd data/airbench
# download dataset from the above link
# download converted files
wget https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-Audio/evaluation/airbench_level_3_eval.jsonl
cd ../..
```
```bash
ds="airbench_level3"
python -m torch.distributed.launch --use-env \
--nproc_per_node ${NPROC_PER_NODE:-8} --nnodes 1 \
evaluate_chat.py \
--checkpoint $checkpoint \
--dataset $ds \
--batch-size 8 \
--num-workers 2
```
### Acknowledgement
Part of these codes are borrowed from [Whisper](https://github.com/openai/whisper) , [speechio](https://github.com/speechio/chinese_text_normalization), thanks for their wonderful work. |