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@weedge weedge commented Sep 22, 2025

    from modelscope.pipelines import pipeline
    from modelscope.utils.constant import Tasks
    ans = pipeline(Tasks.acoustic_noise_suppression, model="iic/speech_dfsmn_ans_psm_48k_causal")
    result = ans(
        "https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/speech_with_noise1.wav",# 16k
        output_path="dfsmn_enhancer_output.wav",
    )

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Summary of Changes

Hello @weedge, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a minor but important fix within the acoustic noise suppression pipeline. The change involves making the librosa.resample function call more explicit by naming its sample rate arguments, ensuring the code remains clear and less susceptible to breaking changes in external libraries.

Highlights

  • Code Clarity and Robustness: The librosa.resample function call in ans_dfsmn_pipeline.py has been updated to explicitly use keyword arguments orig_sr and target_sr. This enhances code readability and robustness against potential future changes in librosa's positional argument order.
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Code Review

This pull request updates the call to librosa.resample in ans_dfsmn_pipeline.py to use keyword arguments. This is an important fix that ensures compatibility with recent versions of the librosa library (>=0.9.0) where orig_sr and target_sr are keyword-only arguments. The change improves code readability and prevents potential runtime errors. The implementation is correct and I have no further feedback.

@wangxingjun778 wangxingjun778 merged commit 7a37e99 into modelscope:master Sep 28, 2025
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2 participants