From 8bf745a55e459f0b91d744184ba9fce66f0e6fa7 Mon Sep 17 00:00:00 2001 From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com> Date: 星期二, 23 五月 2023 19:37:26 +0800 Subject: [PATCH] update repo --- docs/academic_recipe/asr_recipe.md | 4 ++-- 1 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/academic_recipe/asr_recipe.md b/docs/academic_recipe/asr_recipe.md index a152a40..f2ac3e8 100644 --- a/docs/academic_recipe/asr_recipe.md +++ b/docs/academic_recipe/asr_recipe.md @@ -47,7 +47,7 @@ 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. ### Stage 1: Feature and CMVN Generation -This stage computes CMVN based on `train` dataset, which is used in the following stages. Users can set `nj` to control the number of jobs for computing CMVN. The generated CMVN file is saved as `$feats_dir/data/train/cmvn/cmvn.mvn`. +This stage computes CMVN based on `train` dataset, which is used in the following stages. Users can set `nj` to control the number of jobs for computing CMVN. The generated CMVN file is saved as `$feats_dir/data/train/cmvn/am.mvn`. ### Stage 2: Dictionary Preparation This stage processes the dictionary, which is used as a mapping between label characters and integer indices during ASR training. The processed dictionary file is saved as `$feats_dir/data/$lang_toekn_list/$token_type/tokens.txt`. An example of `tokens.txt` is as follows: @@ -167,4 +167,4 @@ * Decoding by CPU or GPU -We support CPU and GPU decoding. For CPU decoding, \ No newline at end of file +We support CPU and GPU decoding. For CPU decoding, set `gpu_inference=false` and `njob` to specific the total number of CPU jobs. For GPU decoding, first set `gpu_inference=true`. Then set `gpuid_list` to specific which GPUs for decoding and `njob` to specific the number of decoding jobs on each GPU. \ No newline at end of file -- Gitblit v1.9.1