[TTS][ZH] fix broken link for the script. (#5666)

Signed-off-by: Xuesong Yang <[email protected]>

tutorials/tts/FastPitch_ChineseTTS_Training.ipynb

@@ -882,7 +882,7 @@
     "- Finetuning with #1 has artifacts from the original audio (noise) that get passed on as input to the vocoder resulting in artifacts in vocoder output in the form of noise.\n",
     "- <b> On the other hand, #2.1 (i.e. `Mel spectrogram predicted from FastPitch with groundtruth alignment and duration`) gives the best results because it enables HiFi-GAN to learn mel spectrograms generated by FastPitch as well as duration distributions closer to the real world (i.e. ground truth) durations. </b>\n",
     "\n",
-    "From implementation perspective - we follow the same process described in [Finetuning FastPitch for a new speaker](FastPitch_Finetuning.ipynb) - i.e. take the latest checkpoint from FastPitch training and predict spectrograms for each of the input records in `train_manifest.json`, `test_manifest.json` and `val_manifest.json`. NeMo provides an efficient script, [scripts/dataset_processing/tts/generate_mels.py](https://raw.githubusercontent.com/nvidia/NeMo/main/scripts/dataset_processing/tts/generate_mels.py), to generate Mel-spectrograms in the directory `NeMoChineseTTS/mels` and also create new JSON manifests with a suffix `_mel` by adding a new key `\"mel_filepath\"`. For example, `train_manifest.json` corresponds to `train_manifest_mel.json` saved in the same directory. You can run the following CLI to obtain the new JSON manifests."
+    "From implementation perspective - we follow the same process described in [Finetuning FastPitch for a new speaker](FastPitch_Finetuning.ipynb) - i.e. take the latest checkpoint from FastPitch training and predict spectrograms for each of the input records in `train_manifest.json`, `test_manifest.json` and `val_manifest.json`. NeMo provides an efficient script, [scripts/dataset_processing/tts/generate_mels.py](https://raw.githubusercontent.com/nvidia/NeMo/r1.14.0/scripts/dataset_processing/tts/generate_mels.py), to generate Mel-spectrograms in the directory `NeMoChineseTTS/mels` and also create new JSON manifests with a suffix `_mel` by adding a new key `\"mel_filepath\"`. For example, `train_manifest.json` corresponds to `train_manifest_mel.json` saved in the same directory. You can run the following CLI to obtain the new JSON manifests."
    ]
   },
   {