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如何为声学模型适配配置bw参数?参数解析错误求助

Fixing the bw Command Error for Continuous Acoustic Model Training

Let's work through your issue step by step to get your Baum-Welch (bw) command running correctly for your continuous speech acoustic model.

First, Diagnose the Root Cause

The error you're seeing:

ERROR: "cmd_ln.c", line 607: Unknown argument name 'feature_transform'

stems from two critical mistakes in your command:

  1. Misused -accumdir parameter: This flag requires a valid directory path to store training statistics, but you wrote -accumdir -lda feature_transform — this tells bw to treat -lda as the directory name, making feature_transform an unrecognized extra argument.
  2. Unsupported -lda flag: The bw tool doesn't handle LDA feature transformation. This step belongs to feature extraction (via the feat command) or later model adaptation workflows, not during the Baum-Welch training iteration.

Corrected bw Command for Your Setup

Based on your feat.params content and the continuous model you're using, here's the adjusted command that should work:

./bw \
  -hmmdir en-us \
  -moddeffn en-us/mdef.txt \
  -ts2cbfn .cont. \
  -feat 1s_c_d_dd \
  -svspec 0-12/13-25/26-38 \
  -cmn current \
  -agc none \
  -dictfn cmudict-en-us.dict \
  -ctlfn robot_train.fileids \
  -lsnfn robot_train.transcription \
  -accumdir ./accum_stats

Key Details About This Command:

  • -accumdir ./accum_stats: First run mkdir accum_stats in your terminal to create this directory — it’s where bw will save accumulated training statistics. Using a valid, dedicated path fixes the parameter parsing error.
  • Aligned feature parameters: We kept -feat and -svspec matching your feat.params file to ensure feature dimensions align with your model’s requirements.
  • Removed unsupported flags: The -lda feature_transform part is omitted because bw doesn’t handle LDA transformations. If you need to apply LDA, configure it in your feature extraction pipeline (update feat.params or use feat with LDA flags) before running bw.

Additional Tips

  • Double-check that your input files (robot_train.fileids, robot_train.transcription) are correctly formatted and stored in the right directory — mismatched paths or invalid content can cause silent failures or unexpected errors.
  • If you’re unsure about any bw parameters, run ./bw -help to view the full list of supported arguments and their descriptions.

内容的提问来源于stack exchange,提问作者lovecode

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最近更新时间:2026.05.21 03:55:14