From c613e9d7fb6b30f2bcf86804a95586c141260290 Mon Sep 17 00:00:00 2001
From: asdfw13 <86564126+asdfw13@users.noreply.github.com>
Date: Fri, 30 Jun 2023 00:51:25 +0800
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 8aace1a..469f30d 100644
--- a/README.md
+++ b/README.md
@@ -204,7 +204,7 @@ After slicing, it is recommended to remove any audio clips that are excessively
 python resample.py
 ```
 
-#### Attention
+#### Cautions
 
 Although this project has the script resample.py for resampling, to mono and loudness matching, the default loudness matching is to match to 0db. This may cause damage to the sound quality. While python's loudness matching package pyloudnorm is unable to limit the level, this results in a burst. Therefore, it is suggested to consider using professional sound processing software such as `adobe audition` for loudness matching processing. If you have already used other software for loudness matching, run the command with the argument `--skip_loudnorm`:
 
@@ -353,7 +353,7 @@ Shallow diffusion settings:
 - `-od` | `--only_diffusion`: Whether to use Only diffusion mode, which does not load the sovits model to only use diffusion model inference
 - `-se` | `--second_encoding`：which involves applying an additional encoding to the original audio before shallow diffusion. This option can yield varying results - sometimes positive and sometimes negative.
 
-### Attention
+### Cautions
 
 If inferencing using `whisper-ppg` speech encoder, you need to set `--clip` to 25 and `-lg` to 1. Otherwise it will fail to infer properly.