Add FastPitch LJSpeech recipe

recipes/ljspeech/fast_pitch/train_fast_pitch.py

@@ -0,0 +1,45 @@
+import os
+
+from TTS.config import BaseAudioConfig, BaseDatasetConfig
+from TTS.trainer import Trainer, TrainingArgs, init_training
+from TTS.tts.configs import FastPitchConfig
+
+output_path = os.path.dirname(os.path.abspath(__file__))
+dataset_config = BaseDatasetConfig(name="ljspeech", meta_file_train="metadata.csv",  meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"), path=os.path.join(output_path, "../LJSpeech-1.1/"))
+audio_config = BaseAudioConfig(
+    sample_rate=22050,
+    do_trim_silence=False,
+    trim_db=0.0,
+    signal_norm=False,
+    mel_fmin=0.0,
+    mel_fmax=8000,
+    spec_gain=1.0,
+    log_func="np.log",
+    ref_level_db=20,
+    preemphasis=0.0,
+)
+config = FastPitchConfig(
+    run_name="fast_pitch_ljspeech",
+    audio=audio_config,
+    batch_size=32,
+    eval_batch_size=16,
+    num_loader_workers=8,
+    num_eval_loader_workers=4,
+    compute_f0=True,
+    f0_cache_path=os.path.join(output_path, "f0_cache"),
+    run_eval=True,
+    test_delay_epochs=-1,
+    epochs=1000,
+    text_cleaner="english_cleaners",
+    use_phonemes=True,
+    phoneme_language="en-us",
+    phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
+    print_step=25,
+    print_eval=True,
+    mixed_precision=False,
+    output_path=output_path,
+    datasets=[dataset_config]
+)
+args, config, output_path, _, c_logger, tb_logger = init_training(TrainingArgs(), config)
+trainer = Trainer(args, config, output_path, c_logger, tb_logger)
+trainer.fit()