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嘉渊 2023-05-24 10:19:23 +08:00
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docs/academic_recipe/asr_recipe.md
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@ -47,9 +47,12 @@ We provide a recipe `egs/aishell/paraformer/run.sh` for training a paraformer mo
- `CUDA_VISIBLE_DEVICES`: `0,1` (Default), visible gpu list
- `gpu_num`: `2` (Default), the number of GPUs used for training
- `gpu_inference`: `true` (Default), whether to use GPUs for decoding
- `njob`: `1` (Default), for CPU decoding, indicating the total number of CPU jobs; for GPU decoding, indicating the number of jobs on each GPU
- `njob`: `1` (Default),for CPU decoding, indicating the total number of CPU jobs; for GPU decoding, indicating the number of jobs on each GPU
- `raw_data`: the raw path of AISHELL-1 dataset
- `feats_dir`: the path for saving processed data
- `token_type`: `char` (Default), indicate how to process text
- `type`: `sound` (Default), set the input type
- `scp`: `wav.scp` (Default), set the input file
- `nj`: `64` (Default), the number of jobs for data preparation
- `speed_perturb`: `"0.9, 1.0 ,1.1"` (Default), the range of speech perturbed
- `exp_dir`: the path for saving experimental results