Not finding correct phoneme dictionary file for tts_es_fastpitch_multispeaker
Hello, I want to finetune the tts_es_fastpitch_multispeaker model but I don't know where to find the correct file for the phoneme dictionary. This is the code I’m running for finetuning:

`!(python fastpitch_finetune.py --config-name=fastpitch_align_44100_ipa_multi.yaml \
  train_dataset=./transcript_train.json \
  validation_datasets=./transcript_dev.json \
  sup_data_path=./fastpitch_sup_data \
  pitch_stats_path=tts_dataset_files/pitch_stats.json \
  phoneme_dict_path=tts_dataset_files/es_LA_nv230301.dict \
  exp_manager.exp_dir=./ljspeech_to_9017_no_mixing_5_mins \
  +init_from_nemo_model=./tts_es_fastpitch_multispeaker.nemo \
  trainer.check_val_every_n_epoch=25 \
  model.train_ds.dataloader_params.batch_size=12 model.validation_ds.dataloader_params.batch_size=12 \
  model.n_speakers=174 \
  model.pitch_fmin=30 model.pitch_fmax=512 model.optim.lr=2e-4 \
  ~model.optim.sched model.optim.name=adam trainer.devices=1 trainer.strategy=null \
)`

I tried with the two phoneme files avaliable in this repository:
`
NeMo/scripts/tts_dataset_files/es_ES/es_ES_nv230301.dict
`
`NeMo/scripts/tts_dataset_files/es_LA/es_LA_nv230301.dict`

And with both I have this error:
`size mismatch for fastpitch.encoder.word_emb.weight: copying a param with shape torch.Size([101, 384]) from checkpoint, the shape in current model is torch.Size([103, 384]).`

I was able to by pass this by simple removing some lines from one of the files but, if possible, I would like to use the same dictionary used in the original training to avoid unknown char/phoneme errors. Thanks.
