给 AiShell/Deepspeech 增加中文说明文档 #3891
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Thanks for your contribution! |
zxcd
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Nov 20, 2024
examples/aishell/asr0/README_cn.md
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| # 使用Aishell数据集训练DeepSpeech2的离线/在线ASR模型 | |||
zxcd
reviewed
Nov 20, 2024
| 您需要的所有脚本都在`run.sh`中。`run.sh`中有几个阶段，每个阶段都有其功能。 | ||
| | 阶段 | 功能 | | ||
| |:---- |:----------------------------------------------------------- | | ||
| | 0 | 数据处理。包括：<br> (1) 下载数据集 <br> (2) 计算训练数据集的CMVN <br> (3) 获取词汇文件 <br> (4) 获取训练、开发和测试数据集的manifest文件 | |
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这个词汇文件就是指的vocab.txt，如果翻译成文字的话可以翻译成词典
examples/aishell/asr0/README_cn.md
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| |:---- |:----------------------------------------------------------- | | ||
| | 0 | 数据处理。包括：<br> (1) 下载数据集 <br> (2) 计算训练数据集的CMVN <br> (3) 获取词汇文件 <br> (4) 获取训练、开发和测试数据集的manifest文件 | | ||
| | 1 | 训练模型 | | ||
| | 2 | 通过平均前k个最佳模型来获得最终模型，设置k=1表示选择最佳模型 | |
examples/aishell/asr0/README_cn.md
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| ```bash | ||
| source path.sh | ||
| ``` | ||
| 需要先运行此脚本。 |
examples/aishell/asr0/README_cn.md
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| source path.sh | ||
| ``` | ||
| 需要先运行此脚本。 | ||
| 另一个脚本也需要运行： |
| ## 局部变量 | ||
| 在`run.sh`中设置了一些局部变量。 | ||
| `gpus`表示您想使用的GPU数量。如果您设置`gpus=`，则表示仅使用CPU。 | ||
| `stage`表示您想在实验中从哪个阶段开始。 |
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stage表示您想在实验中 从哪个阶段 开始。
| 在`run.sh`中设置了一些局部变量。 | ||
| `gpus`表示您想使用的GPU数量。如果您设置`gpus=`，则表示仅使用CPU。 | ||
| `stage`表示您想在实验中从哪个阶段开始。 | ||
| `stop_stage`表示您想在实验中结束于哪个阶段。 |
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stop_stage表示您想在实验中 结束于 哪个 阶段。
examples/aishell/asr0/README_cn.md
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| `stage`表示您想在实验中从哪个阶段开始。 | ||
| `stop_stage`表示您想在实验中结束于哪个阶段。 | ||
| `conf_path`表示模型的配置路径。 | ||
| `avg_num`表示要平均的前k个最佳模型的数量，以获得最终模型。 |
examples/aishell/asr0/README_cn.md
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| `stop_stage`表示您想在实验中结束于哪个阶段。 | ||
| `conf_path`表示模型的配置路径。 | ||
| `avg_num`表示要平均的前k个最佳模型的数量，以获得最终模型。 | ||
| `model_type`表示模型类型：离线或在线 |
| `avg_num`表示要平均的前k个最佳模型的数量，以获得最终模型。 | ||
| `model_type`表示模型类型：离线或在线 | ||
| `audio_file`表示在阶段6中您想进行推理的单个文件的路径。 | ||
| `ckpt`表示模型的检查点前缀，例如"deepspeech2" |
| bash run.sh --gpus 0,1 --avg_num 1 | ||
| ``` | ||
| ## 阶段0：数据处理 | ||
| 要使用此示例，您需要先处理数据，可以使用`run.sh`中的阶段0来完成此操作。代码如下： |
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