ValueError: Input signal length=0 is too small to resample from 48000->16000

╭─ayn@Ayn in ~/Alstnc/MockingBird-main via  v3.9.8 took 1m32s
[🔴] × python pre.py /home/ayn/Alstnc/ayn/ -d aidatatang_200zh -n 7
Using data from:
/home/ayn/Alstnc/ayn/aidatatang_200zh/corpus/train
aidatatang_200zh: 0%| | 0/1 [01:3416000
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/ayn/Alstnc/MockingBird-main/pre.py", line 74, in
preprocess_dataset(**vars(args))
File "/home/ayn/Alstnc/MockingBird-main/synthesizer/preprocess.py", line 74, in preprocess_dataset
for speaker_metadata in tqdm(job, dataset, len(speaker_dirs), unit="speakers"):
File "/home/ayn/.pyenv/versions/3.9.8/lib/python3.9/site-packages/tqdm/std.py", line 1195, in __iter__
for obj in iterable:
File "/home/ayn/.pyenv/versions/3.9.8/lib/python3.9/multiprocessing/pool.py", line 870, in next
raise value
ValueError: Input signal length=0 is too small to resample from 48000->16000

Reproduce the failure with the documented `python pre.py` command and inspect `synthesizer/preprocess_speaker.py`, especially `_split_on_silences` and `preprocess_speaker_general`. Trace which input reaches `librosa.load` with length zero, then verify that dataset preprocessing handles or clearly reports that input without the multiprocessing job crashing.

Written by the indexing model from the issue text.