You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, thank you very much for your open source work! I am trying to reproduce SMACK to achieve attacks on ASR systems. For the given example, when I run the command python3 attack.py --audio "./Original_TheyDenyTheyLied.wav" --model iflytekASR --content "They deny they lied" --target "They did not have a light", I am able to obtain the corresponding adversarial sample. However, now I would like to attack using my own dataset, which consists of some audio files from the Librispeech dataset, targeting iFlytek ASR.
I used the following command: python3 attack.py --audio "./librispeech_test_clean_300_audio/121-127105-0033.flac" --model iflytekASR --content "IT WAS THE BEAUTY OF IT" --target "turn off the light", but no matter how I modify the number of iterations or change the original audio and target command, I am unable to obtain a successful adversarial sample. Could you give me some advice?
The text was updated successfully, but these errors were encountered:
Hello, thank you very much for your open source work! I am trying to reproduce SMACK to achieve attacks on ASR systems. For the given example, when I run the command python3 attack.py --audio "./Original_TheyDenyTheyLied.wav" --model iflytekASR --content "They deny they lied" --target "They did not have a light", I am able to obtain the corresponding adversarial sample. However, now I would like to attack using my own dataset, which consists of some audio files from the Librispeech dataset, targeting iFlytek ASR.
I used the following command: python3 attack.py --audio "./librispeech_test_clean_300_audio/121-127105-0033.flac" --model iflytekASR --content "IT WAS THE BEAUTY OF IT" --target "turn off the light", but no matter how I modify the number of iterations or change the original audio and target command, I am unable to obtain a successful adversarial sample. Could you give me some advice?
The text was updated successfully, but these errors were encountered: