Improve Silero Preprocessing to Handle European Numbers and Decimals

Also add a test script to generate audio clips from CLI

extensions/silero_tts/test_tts.py

@@ -0,0 +1,79 @@
+import time
+from pathlib import Path
+
+import torch
+
+import tts_preprocessor
+
+torch._C._jit_set_profiling_mode(False)
+
+params = {
+    'activate': True,
+    'speaker': 'en_49',
+    'language': 'en',
+    'model_id': 'v3_en',
+    'sample_rate': 48000,
+    'device': 'cpu',
+    'show_text': True,
+    'autoplay': True,
+    'voice_pitch': 'medium',
+    'voice_speed': 'medium',
+}
+
+current_params = params.copy()
+voices_by_gender = ['en_99', 'en_45', 'en_18', 'en_117', 'en_49', 'en_51', 'en_68', 'en_0', 'en_26', 'en_56', 'en_74', 'en_5', 'en_38', 'en_53', 'en_21', 'en_37', 'en_107', 'en_10', 'en_82', 'en_16', 'en_41', 'en_12', 'en_67', 'en_61', 'en_14', 'en_11', 'en_39', 'en_52', 'en_24', 'en_97', 'en_28', 'en_72', 'en_94', 'en_36', 'en_4', 'en_43', 'en_88', 'en_25', 'en_65', 'en_6', 'en_44', 'en_75', 'en_91', 'en_60', 'en_109', 'en_85', 'en_101', 'en_108', 'en_50', 'en_96', 'en_64', 'en_92', 'en_76', 'en_33', 'en_116', 'en_48', 'en_98', 'en_86', 'en_62', 'en_54', 'en_95', 'en_55', 'en_111', 'en_3', 'en_83', 'en_8', 'en_47', 'en_59', 'en_1', 'en_2', 'en_7', 'en_9', 'en_13', 'en_15', 'en_17', 'en_19', 'en_20', 'en_22', 'en_23', 'en_27', 'en_29', 'en_30', 'en_31', 'en_32', 'en_34', 'en_35', 'en_40', 'en_42', 'en_46', 'en_57', 'en_58', 'en_63', 'en_66', 'en_69', 'en_70', 'en_71', 'en_73', 'en_77', 'en_78', 'en_79', 'en_80', 'en_81', 'en_84', 'en_87', 'en_89', 'en_90', 'en_93', 'en_100', 'en_102', 'en_103', 'en_104', 'en_105', 'en_106', 'en_110', 'en_112', 'en_113', 'en_114', 'en_115']
+voice_pitches = ['x-low', 'low', 'medium', 'high', 'x-high']
+voice_speeds = ['x-slow', 'slow', 'medium', 'fast', 'x-fast']
+
+# Used for making text xml compatible, needed for voice pitch and speed control
+table = str.maketrans({
+    "<": "&lt;",
+    ">": "&gt;",
+    "&": "&amp;",
+    "'": "&apos;",
+    '"': "&quot;",
+})
+
+
+def xmlesc(txt):
+    return txt.translate(table)
+
+
+def load_model():
+    model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id'])
+    model.to(params['device'])
+    return model
+model = load_model()
+
+
+def output_modifier(string):
+    """
+    This function is applied to the model outputs.
+    """
+
+    global model, current_params
+
+    original_string = string
+    string = tts_preprocessor.preprocess(string)
+    processed_string = string
+
+    if string == '':
+        string = '*Empty reply, try regenerating*'
+    else:
+        output_file = Path(f'extensions/silero_tts/outputs/test_{int(time.time())}.wav')
+        prosody = '<prosody rate="{}" pitch="{}">'.format(params['voice_speed'], params['voice_pitch'])
+        silero_input = f'<speak>{prosody}{xmlesc(string)}</prosody></speak>'
+        model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
+
+        autoplay = 'autoplay' if params['autoplay'] else ''
+        string = f'<audio src="file/{output_file.as_posix()}" controls {autoplay}></audio>'
+
+        if params['show_text']:
+            string += f'\n\n{original_string}\n\nProcessed:\n{processed_string}'
+
+    print(string)
+
+
+if __name__ == '__main__':
+    import sys
+    output_modifier(sys.argv[1])

extensions/silero_tts/tts_preprocessor.py

@@ -1,4 +1,5 @@
 import re
+import locale
 from num2words import num2words
 
 
@@ -39,7 +40,7 @@ def preprocess(string):
     string = string.replace('"', '')
     string = string.replace('“', '')
     string = string.replace('\n', ' ')
-    string = remove_commas(string)
+    string = convert_num_locale(string)
     string = replace_negative(string)
     string = replace_roman(string)
     string = hyphen_range_to(string)
@@ -108,8 +109,9 @@ def hyphen_range_to(text):
 
 
 def num_to_words(text):
-    pattern = re.compile(r'\d+')
-    result = pattern.sub(lambda x: num2words(int(x.group())), text)
+    # 1000 or 10.23
+    pattern = re.compile(r'\d+\.\d+|\d+')
+    result = pattern.sub(lambda x: num2words(float(x.group())), text)
     return result
 
 
@@ -145,11 +147,23 @@ def match_mapping(char, result):
     return result + char
 
 
-def remove_commas(text):
-    # This handles American locale numbers
-    # TODO This should probably be adapted to detect locale
+def convert_num_locale(text):
+    # This detects locale and converts it to American without comma separators
+    pattern = re.compile(r'(?:\s|^)\d{1,3}(?:\.\d{3})*(?:,\d+)?(?:\s|$)')
+    result = text
+    while True:
+        match = pattern.search(result)
+        if match is None:
+            break
+
+        start = match.start()
+        end = match.end()
+        result = result[0:start] + result[start:end].replace('.', '').replace(',', '.') + result[end:len(result)]
+
+    # removes comma separators from existing American numbers
     pattern = re.compile(r'(\d),(\d)')
-    result = pattern.sub(r'\1\2', text)
+    result = pattern.sub(r'\1\2', result)
+
     return result