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Hotwords and ngram files used in wenet.

.
├── models
│   └── hotwords.yaml

Evaluation

Base Acoustic model: 20210601_u2++_conformer_exp

Tested ENV

  • CPU:40 Core, Intel(R) Xeon(R) Silver 4210 CPU @ 2.20GHz
  • GPU:NVIDIA GeForce RTX 2080 Ti

AISHELL-1 Test dataset

model (FP16) RTF CER
offline model w/o hotwords 0.00437 4.6805
offline model w/ hotwords 0.00428 4.5841
streaming model w/o hotwords 0.01231 5.2777
streaming model w/ hotwords 0.01195 5.1850

AISHELL-1 hostwords testsets

model (FP16) Latency (s) CER Recall Precision F1-score
offline model w/o hotwords 5.8673 13.85 0.27 0.99 0.43
offline model w/ hotwords 5.6601 11.96 0.47 0.97 0.63

Decoding result

Label hotwords pred w/o hotwords pred w/ hotwords
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庞清和佟健终于可以放心地考虑退役的事情了 庞清
佟健
庞青董建终于可以放心地考虑退役的事情了 庞清佟健终于可以放心地考虑退役的事情了
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Result Files

.
└── results
    ├── aishell1_testsets
    │   ├── offline_with_hotwords_orderAuto.log
    │   ├── offline_without_hotwords.log
    │   ├── stream_with_hotwords_orderAuto.log
    │   └── stream_without_hotwords.log
    └── speech_asr_aishell1_hotwords_testsets
        ├── aishell1_text_hotwords
        ├── with_hotwords_ali.log
        └── without_hotwords_ali.log

NER evaluation script

cd ner

python compute_hotwords_f1.py \
    --label="data/aishell1_text_hotwords" \
    --preds="data/with_hotwords_ali.log;data/without_hotwords_ali.log" \
    --hotword="data/hotwords.yaml"
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