[FastPitch/PyT] Update flags for inference

Author: alancucki

PyTorch/SpeechSynthesis/FastPitch/README.md

@@ -277,6 +277,7 @@ To train your model using mixed or TF32 precision with Tensor Cores or using FP3
    python inference.py \
        --cuda \
        --fastpitch output/<FastPitch checkpoint> \
+       --energy-conditioning \
        --waveglow pretrained_models/waveglow/<WaveGlow checkpoint> \
        --wn-channels 256 \
        -i phrases/devset10.tsv \

PyTorch/SpeechSynthesis/FastPitch/inference.py

@@ -120,7 +120,7 @@ def parse_args(parser):
 
     text_processing = parser.add_argument_group('Text processing parameters')
     text_processing.add_argument('--text-cleaners', nargs='*',
-                                 default=['english_cleaners'], type=str,
+                                 default=['english_cleaners_v2'], type=str,
                                  help='Type of text cleaners for input text')
     text_processing.add_argument('--symbol-set', type=str, default='english_basic',
                                  help='Define symbol set for input text')

PyTorch/SpeechSynthesis/FastPitch/scripts/inference_example.sh

@@ -28,7 +28,6 @@ ARGS+=" --fastpitch $FASTPITCH"
 ARGS+=" --waveglow $WAVEGLOW"
 ARGS+=" --wn-channels 256"
 ARGS+=" --batch-size $BATCH_SIZE"
-ARGS+=" --text-cleaners english_cleaners_v2"
 ARGS+=" --denoising-strength $DENOISING"
 ARGS+=" --repeats $REPEATS"
 ARGS+=" --warmup-steps $WARMUP"