Fixed model path

models/asr/pyf98/librispeech_conformer_hop_length160/config.yaml

@@ -5,10 +5,10 @@ beam_search:
   pre_beam_ratio: 1.5
   pre_beam_score_key: full
 ctc:
-  model_path: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/full/ctc.onnx
+  model_path: models/asr/pyf98/librispeech_conformer_hop_length160/full/ctc.onnx
 decoder:
   dec_type: XformerDecoder
-  model_path: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/full/xformer_decoder.onnx
+  model_path: models/asr/pyf98/librispeech_conformer_hop_length160/full/xformer_decoder.onnx
   n_layers: 6
   odim: 512
 encoder:
@@ -34,16 +34,16 @@ encoder:
       win_length: 512
       window: hann
   is_vggrnn: false
-  model_path: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/full/xformer_encoder.onnx
+  model_path: models/asr/pyf98/librispeech_conformer_hop_length160/full/xformer_encoder.onnx
   normalize:
     eps: 1.0e-20
     norm_means: true
     norm_vars: true
-    stats_file: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/feats_stats.npz
+    stats_file: models/asr/pyf98/librispeech_conformer_hop_length160/feats_stats.npz
     type: gmvn
 lm:
   lm_type: TransformerLM
-  model_path: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/full/transformer_lm.onnx
+  model_path: models/asr/pyf98/librispeech_conformer_hop_length160/full/transformer_lm.onnx
   nlayers: 16
   odim: 512
   use_lm: true
@@ -5055,7 +5055,7 @@ token:
   - <sos/eos>
   sos: 4999
 tokenizer:
-  bpemodel: /home/masao/.cache/espnet_onnx/pyf98/librispeech_conformer_hop_length160/bpe.model
+  bpemodel: models/asr/pyf98/librispeech_conformer_hop_length160/bpe.model
   token_type: bpe
 transducer:
   use_transducer_decoder: false

models/tts/kan-bayashi/ljspeech_vits/config.yaml

@@ -87,7 +87,7 @@ tokenizer:
   g2p_type: g2p_en_no_space
   token_type: phn
 tts_model:
-  model_path: /home/masao/.cache/espnet_onnx/kan-bayashi/ljspeech_vits/full/vits.onnx
+  model_path: models/tts/full/vits.onnx
   model_type: VITS
 vocoder:
   vocoder_type: not_used