app

scripts/runSQ.py

@@ -14,14 +14,14 @@ def run(sentence, voices):
     # On tts.tiro.is speech marks are only available 
     # for the voices: Alfur, Dilja, Karl and Dora.
 
-    corpus_meta = '../human_data/SQL1adult_metadata.tsv'
-    speech_dir = '../human_data/audio/squeries/'
-    speech_aligns = '../human_data/aligns/squeries/'
-    speech_f0 = '../human_data/f0/squeries/'
+    corpus_meta = '/home/user/app/human_data/SQL1adult_metadata.tsv'
+    speech_dir = '/home/user/app/human_data/audio/squeries/'
+    speech_aligns = '/home/user/app/human_data/aligns/squeries/'
+    speech_f0 = '/home/user/app/human_data/f0/squeries/'
     align_model_path ="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h"
 
-    tts_dir = '../tts_data/'
-    
+    tts_dir = '/home/user/app/tts_data/'
+
     
     norm_sentence = snorm(sentence)
 
@@ -82,6 +82,9 @@ def align_human(meta,align_dir,speech_dir,model_path):
             
     if no_align:
         print(f'Need to run alignment for {len(no_align)} files')
+        if not os.path.exists(align_dir):
+            os.mkdir(align_dir)
+
         caligner = aligner(model_path,model_word_sep,model_blank_tk)
         for rec in no_align:
             wav_path = f'{speech_dir}{rec[1]}/{rec[2]}'
@@ -107,6 +110,8 @@ def f0_human(meta, f0_dir, speech_dir, reaper_path):
             
     if no_f0:
         print(f'Need to estimate pitch for {len(no_f0)} recordings')
+        if not os.path.exists(f0_dir):
+            os.mkdir(f0_dir)
         #TODO
         
     else: