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update README
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yt605155624 committed Oct 15, 2021
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2 changes: 2 additions & 0 deletions examples/fastspeech2/aishell3/README.md
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Expand Up @@ -206,6 +206,8 @@ optional arguments:

You can use the following scripts to synthesize for `../sentences.txt` using pretrained fastspeech2 and parallel wavegan models.
```bash
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 synthesize_e2e.py \
--fastspeech2-config=fastspeech2_nosil_aishell3_ckpt_0.4/default.yaml \
--fastspeech2-checkpoint=fastspeech2_nosil_aishell3_ckpt_0.4/snapshot_iter_96400.pdz \
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2 changes: 2 additions & 0 deletions examples/fastspeech2/baker/README.md
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Expand Up @@ -193,6 +193,8 @@ optional arguments:

You can use the following scripts to synthesize for `../sentences.txt` using pretrained fastspeech2 and parallel wavegan models.
```bash
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 synthesize_e2e.py \
--fastspeech2-config=fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
--fastspeech2-checkpoint=fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
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2 changes: 2 additions & 0 deletions examples/fastspeech2/ljspeech/README.md
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Expand Up @@ -193,6 +193,8 @@ optional arguments:

You can use the following scripts to synthesize for `../sentences_en.txt` using pretrained fastspeech2 and parallel wavegan models.
```bash
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 synthesize_e2e.py \
--fastspeech2-config=fastspeech2_nosil_ljspeech_ckpt_0.5/default.yaml \
--fastspeech2-checkpoint=fastspeech2_nosil_ljspeech_ckpt_0.5/snapshot_iter_100000.pdz \
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2 changes: 2 additions & 0 deletions examples/transformer_tts/ljspeech/README.md
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Expand Up @@ -179,6 +179,8 @@ optional arguments:

You can use the following scripts to synthesize for `../sentences.txt` using pretrained transformer_tts and waveflow models.
```bash
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 synthesize_e2e.py \
--transformer-tts-config=transformer_tts_ljspeech_ckpt_0.4/default.yaml \
--transformer-tts-checkpoint=transformer_tts_ljspeech_ckpt_0.4/snapshot_iter_201500.pdz \
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3 changes: 2 additions & 1 deletion examples/transformer_tts/ljspeech/synthesize.sh
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@@ -1,5 +1,6 @@
#!/bin/bash

FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ../synthesize.py \
--transformer-tts-config=conf/default.yaml \
--transformer-tts-checkpoint=exp/default/checkpoints/snapshot_iter_201500.pdz \
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