💕 Add os.makedirs.

Author: dathudeptrai

tacotron2/config.yml

@@ -0,0 +1,54 @@
+allow_cache: true
+batch_size: 32
+end_ratio_value: 0.0
+eval_interval_steps: 500
+format: npy
+gradient_accumulation_steps: 1
+hop_size: 256
+is_shuffle: true
+log_interval_steps: 200
+mel_length_threshold: 32
+model_type: tacotron2
+num_save_intermediate_results: 1
+optimizer_params:
+  decay_steps: 150000
+  end_learning_rate: 1.0e-05
+  initial_learning_rate: 0.001
+  warmup_proportion: 0.02
+  weight_decay: 0.001
+remove_short_samples: true
+save_interval_steps: 2000
+schedule_decay_steps: 50000
+start_ratio_value: 0.5
+start_schedule_teacher_forcing: 200001
+tacotron2_params:
+  attention_dim: 128
+  attention_filters: 32
+  attention_kernel: 31
+  attention_type: lsa
+  dataset: ljspeech
+  decoder_lstm_units: 1024
+  embedding_dropout_prob: 0.1
+  embedding_hidden_size: 512
+  encoder_conv_activation: relu
+  encoder_conv_dropout_rate: 0.5
+  encoder_conv_filters: 512
+  encoder_conv_kernel_sizes: 5
+  encoder_lstm_units: 256
+  initializer_range: 0.02
+  n_conv_encoder: 5
+  n_conv_postnet: 5
+  n_lstm_decoder: 1
+  n_mels: 80
+  n_prenet_layers: 2
+  n_speakers: 1
+  postnet_conv_filters: 512
+  postnet_conv_kernel_sizes: 5
+  postnet_dropout_rate: 0.1
+  prenet_activation: relu
+  prenet_dropout_rate: 0.5
+  prenet_units: 256
+  reduction_factor: 1
+train_max_steps: 200000
+use_fixed_shapes: true
+var_train_expr: null

tacotron2/processor.json

@@ -0,0 +1 @@
+{"symbol_to_id": {"pad": 0, "-": 1, "!": 2, "'": 3, "(": 4, ")": 5, ",": 6, ".": 7, ":": 8, ";": 9, "?": 10, " ": 11, "A": 12, "B": 13, "C": 14, "D": 15, "E": 16, "F": 17, "G": 18, "H": 19, "I": 20, "J": 21, "K": 22, "L": 23, "M": 24, "N": 25, "O": 26, "P": 27, "Q": 28, "R": 29, "S": 30, "T": 31, "U": 32, "V": 33, "W": 34, "X": 35, "Y": 36, "Z": 37, "a": 38, "b": 39, "c": 40, "d": 41, "e": 42, "f": 43, "g": 44, "h": 45, "i": 46, "j": 47, "k": 48, "l": 49, "m": 50, "n": 51, "o": 52, "p": 53, "q": 54, "r": 55, "s": 56, "t": 57, "u": 58, "v": 59, "w": 60, "x": 61, "y": 62, "z": 63, "@AA": 64, "@AA0": 65, "@AA1": 66, "@AA2": 67, "@AE": 68, "@AE0": 69, "@AE1": 70, "@AE2": 71, "@AH": 72, "@AH0": 73, "@AH1": 74, "@AH2": 75, "@AO": 76, "@AO0": 77, "@AO1": 78, "@AO2": 79, "@AW": 80, "@AW0": 81, "@AW1": 82, "@AW2": 83, "@AY": 84, "@AY0": 85, "@AY1": 86, "@AY2": 87, "@B": 88, "@CH": 89, "@D": 90, "@DH": 91, "@EH": 92, "@EH0": 93, "@EH1": 94, "@EH2": 95, "@ER": 96, "@ER0": 97, "@ER1": 98, "@ER2": 99, "@EY": 100, "@EY0": 101, "@EY1": 102, "@EY2": 103, "@F": 104, "@G": 105, "@HH": 106, "@IH": 107, "@IH0": 108, "@IH1": 109, "@IH2": 110, "@IY": 111, "@IY0": 112, "@IY1": 113, "@IY2": 114, "@JH": 115, "@K": 116, "@L": 117, "@M": 118, "@N": 119, "@NG": 120, "@OW": 121, "@OW0": 122, "@OW1": 123, "@OW2": 124, "@OY": 125, "@OY0": 126, "@OY1": 127, "@OY2": 128, "@P": 129, "@R": 130, "@S": 131, "@SH": 132, "@T": 133, "@TH": 134, "@UH": 135, "@UH0": 136, "@UH1": 137, "@UH2": 138, "@UW": 139, "@UW0": 140, "@UW1": 141, "@UW2": 142, "@V": 143, "@W": 144, "@Y": 145, "@Z": 146, "@ZH": 147, "eos": 148}, "id_to_symbol": {"0": "pad", "1": "-", "2": "!", "3": "'", "4": "(", "5": ")", "6": ",", "7": ".", "8": ":", "9": ";", "10": "?", "11": " ", "12": "A", "13": "B", "14": "C", "15": "D", "16": "E", "17": "F", "18": "G", "19": "H", "20": "I", "21": "J", "22": "K", "23": "L", "24": "M", "25": "N", "26": "O", "27": "P", "28": "Q", "29": "R", "30": "S", "31": "T", "32": "U", "33": "V", "34": "W", "35": "X", "36": "Y", "37": "Z", "38": "a", "39": "b", "40": "c", "41": "d", "42": "e", "43": "f", "44": "g", "45": "h", "46": "i", "47": "j", "48": "k", "49": "l", "50": "m", "51": "n", "52": "o", "53": "p", "54": "q", "55": "r", "56": "s", "57": "t", "58": "u", "59": "v", "60": "w", "61": "x", "62": "y", "63": "z", "64": "@AA", "65": "@AA0", "66": "@AA1", "67": "@AA2", "68": "@AE", "69": "@AE0", "70": "@AE1", "71": "@AE2", "72": "@AH", "73": "@AH0", "74": "@AH1", "75": "@AH2", "76": "@AO", "77": "@AO0", "78": "@AO1", "79": "@AO2", "80": "@AW", "81": "@AW0", "82": "@AW1", "83": "@AW2", "84": "@AY", "85": "@AY0", "86": "@AY1", "87": "@AY2", "88": "@B", "89": "@CH", "90": "@D", "91": "@DH", "92": "@EH", "93": "@EH0", "94": "@EH1", "95": "@EH2", "96": "@ER", "97": "@ER0", "98": "@ER1", "99": "@ER2", "100": "@EY", "101": "@EY0", "102": "@EY1", "103": "@EY2", "104": "@F", "105": "@G", "106": "@HH", "107": "@IH", "108": "@IH0", "109": "@IH1", "110": "@IH2", "111": "@IY", "112": "@IY0", "113": "@IY1", "114": "@IY2", "115": "@JH", "116": "@K", "117": "@L", "118": "@M", "119": "@N", "120": "@NG", "121": "@OW", "122": "@OW0", "123": "@OW1", "124": "@OW2", "125": "@OY", "126": "@OY0", "127": "@OY1", "128": "@OY2", "129": "@P", "130": "@R", "131": "@S", "132": "@SH", "133": "@T", "134": "@TH", "135": "@UH", "136": "@UH0", "137": "@UH1", "138": "@UH2", "139": "@UW", "140": "@UW0", "141": "@UW1", "142": "@UW2", "143": "@V", "144": "@W", "145": "@Y", "146": "@Z", "147": "@ZH", "148": "eos"}, "speakers_map": {"ljspeech": 0}, "processor_name": "LJSpeechProcessor"}

tensorflow_tts/configs/base_config.py

@@ -27,5 +27,6 @@ def set_pretrained_config(self, config):
 
     def save_pretrained(self, saved_path):
         """Save config to file"""
+        os.makedirs(saved_path, exist_ok=True)
         with open(os.path.join(saved_path, CONFIG_FILE_NAME), "w") as file:
             yaml.dump(self.config, file)