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@@ -30,17 +30,17 @@ BAC009S0002W0123 也 成 为 地 方 政 府 的 眼 中 钉
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BAC009S0002W0124 自 六 月 底 呼 和 浩 特 市 率 先 宣 布 取 消 限 购 后
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...
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```
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-These two files both have two columns, while the first column is the wav ids and the second column is the corresponding wav paths/label tokens.
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+These two files both have two columns, while the first column is wav ids and the second column is the corresponding wav paths/label tokens.
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## Stage 1: Feature Generation
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-This stage extracts FBank feature from raw wav `wav.scp` and apply speed perturbation as data augmentation according to `speed_perturb`. You can set `nj` to control the number of jobs for feature generation. The output features are saved in `$feats_dir/dump/xxx/ark` and the corresponding `feats.scp` files are saved as `$feats_dir/dump/xxx/feats.scp`. An example of `feats.scp` can be seen as follows:
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+This stage extracts FBank features from `wav.scp` and apply speed perturbation as data augmentation according to `speed_perturb`. Users can set `nj` to control the number of jobs for feature generation. The generated features are saved in `$feats_dir/dump/xxx/ark` and the corresponding `feats.scp` files are saved as `$feats_dir/dump/xxx/feats.scp`. An example of `feats.scp` can be seen as follows:
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* `feats.scp`
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```
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...
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BAC009S0002W0122_sp0.9 /nfs/funasr_data/aishell-1/dump/fbank/train/ark/feats.16.ark:592751055
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...
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```
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-Note that samples in this file have already been shuffled. This file contains two columns. The first column is the wav-id while the second column is the kaldi-ark feature path. Besides, `speech_shape` and `text_shape` are also generated in this stage, denoting the speech feature shape and text length of each sample. The examples are shown as follows:
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+Note that samples in this file have already been shuffled randomly. This file contains two columns. The first column is wav ids while the second column is kaldi-ark feature paths. Besides, `speech_shape` and `text_shape` are also generated in this stage, denoting the speech feature shape and text length of each sample. The examples are shown as follows:
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* `speech_shape`
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```
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...
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@@ -53,7 +53,7 @@ BAC009S0002W0122_sp0.9 665,80
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BAC009S0002W0122_sp0.9 15
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...
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```
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-These two files have two columns. The first column is the wav-id and the second column is the corresponding speech feature shape and text length.
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+These two files have two columns. The first column is wav ids and the second column is the corresponding speech feature shape and text length.
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## Stage 2: Dictionary Preparation
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This stage prepares a dictionary, which is used as a mapping between label characters and integer indices during ASR training. The output dictionary file is saved as `$feats_dir/data/$lang_toekn_list/$token_type/tokens.txt`. Here we show an example of `tokens.txt` as follows:
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speech_asr