diff --git a/DiffSinger.md b/DiffSinger.md
index 9008b30..2140ddd 100644
--- a/DiffSinger.md
+++ b/DiffSinger.md
@@ -7,9 +7,9 @@ This will create a `.jit`  format model file in the same directory.
 
 Then, move this `.jit` model file and the `config.yaml` together to the `checkpoints/ddsp`  directory of the [**DiffSinger**](https://github.com/openvpi/DiffSinger) repository.
 
-Finally, edit the  [**`configs/acoustic/nomidi.yaml`**](https://github.com/openvpi/DiffSinger/blob/refactor/configs/acoustic/nomidi.yaml) file in the [**DiffSinger**](https://github.com/openvpi/DiffSinger)  repository to enable the DDSP vocoder. the details are:
+Finally, edit the  [**`configs/acoustic.yaml`**](https://github.com/openvpi/DiffSinger/blob/main/configs/acoustic.yaml) file in the [**DiffSinger**](https://github.com/openvpi/DiffSinger)  repository to enable the DDSP vocoder. the details are:
 1. Set the `vocoder` option to `DDSP`.
 2. Set the `vocoder_ckpt` option to the path of the `.jit` model.  An example may be `checkpoints/ddsp/model_100000-traced-torch1.9.1.jit`
-3. Check whether other mel related parameters match the parameters in the `checkpoints/ddsp/config.yaml` file.  For the details, the `audio_sample_rate`,`audio_num_mel_bins`,`hop_size`,`fft_size`,`win_size`,`fmin` and  `fmax` in  the[**`configs/acoustic/nomidi.yaml`**](https://github.com/openvpi/DiffSinger/blob/refactor/configs/acoustic/nomidi.yaml) need to match `sampling_rate`, `n_mels`, `block_size`, `n_fft`, `win_length`,`mel_fmin` and `mel_fmax` in the `checkpoints/ddsp/config.yaml`, respectively.
+3. Check whether other mel related parameters match the parameters in the `checkpoints/ddsp/config.yaml` file.  For the details, the `audio_sample_rate`,`audio_num_mel_bins`,`hop_size`,`fft_size`,`win_size`,`fmin` and  `fmax` in  the [**`configs/acoustic.yaml`**](https://github.com/openvpi/DiffSinger/blob/main/configs/acoustic.yaml) need to match `sampling_rate`, `n_mels`, `block_size`, `n_fft`, `win_length`,`mel_fmin` and `mel_fmax` in the `checkpoints/ddsp/config.yaml`, respectively.
 
 After doing all this, [**DiffSinger**](https://github.com/openvpi/DiffSinger)'s default NSF-HiFiGAN vocoder has been replaced by your own trained DDSP vocoder, and you can perform preprocessing, training or inference normally.