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updated deployed_models.yaml

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Brandon Thomas committed 2020-05-27 04:29:22 -04:00
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tts_service/deployed_models.toml
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@@ -1,61 +1,86 @@
# --------------- Speakers ---------------
[[speakers]]
name = "Donald Trump"
slug = "trump"
model_pipeline = "ArpabetTacotronMelgan"
tacotron = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt26500.jit"
melgan = "melgan_trump-txlearn-2020.05.05_13675.jit"
[[speakers]]
name = "High-pitched Linda Johnson"
slug = "ljsh"
model_pipeline = "ArpabetTacotronMelgan"
tacotron = "tacotron2_ljs_high_pitch_arpabet_2020-03-28.jit"
melgan = "melgan_ljs-high-pitch_container.pt"
# --------------- Model configs ---------------
[[model_locations]]
model_type = "ArpabetTacotron"
base_directory = "/data/models/tacotron2-nvidia/"
[[model_locations]]
model_type = "Melgan"
base_directory = "/data/models/melgan-swpark/"
# --------------- Tacotron ---------------
# TODO: Get a high-quality LJS Tacotron
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-02-06_ckpt30000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-02-06_ckpt30000.jit"
description = "First Trump txlearn with Arpabet. Trained 30k iters and sounds great!"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt7000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt7000.jit"
description = "Trump txlearn with Arpabet 2020-05-14"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt11500.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt11500.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt17000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt17000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000-18000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt27000-18000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt53500.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_ckpt53500.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_chkpt112500.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-14_chkpt112500.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt8000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt8000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt13000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-23_chkpt13000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt2000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt2000.jit"
description = "Trump txlearn with Arpabet 2020-05-24; adds 400 new training files from steno"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt16000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-24_chkpt16000.jit"
description = "(see previous)"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt7000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt7000.jit"
description = "Trump txlearn with Arpabet 2020-05-25; adds lots from steno, disabled one bad quality source"
[[tacotron]]
file_path = "/data/models/tacotron2-nvidia/tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt17000.jit"
file_path = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt17000.jit"
description = "(see previous)"
@@ -63,7 +88,7 @@ description = "(see previous)"
[[tacotron]]
# OLD NAME, perhaps I can get the epoch: file_path = "/data/models/tacotron2-nvidia/tacotron_arpabet_1.pt"
file_path = "/data/models/tacotron2-nvidia/tacotron2_ljs_high_pitch_arpabet_2020-03-28.jit"
file_path = "tacotron2_ljs_high_pitch_arpabet_2020-03-28.jit"
description = "High-quality high-pitched LJS; arpabet encodings."
# [[tacotron]]
@@ -82,22 +107,22 @@ description = "High-quality high-pitched LJS; arpabet encodings."
# TODO: Get a high-quality LJS Melgan
[[melgan]]
file_path = "/data/models/melgan-swpark/melgan_trump-txlearn-2020.05.05_7525.jit"
file_path = "melgan_trump-txlearn-2020.05.05_7525.jit"
description = "Latest LJS transfer learned Trump."
[[melgan]]
file_path = "/data/models/melgan-swpark/melgan_trump-txlearn-2020.05.05_13675.jit"
file_path = "melgan_trump-txlearn-2020.05.05_13675.jit"
description = "Latest LJS transfer learned Trump."
[[melgan]]
file_path = "/data/models/melgan-swpark/melgan_ljs-high-pitch_container.pt"
file_path = "melgan_ljs-high-pitch_container.pt"
description = "High-pitched LJS"
[[melgan]]
file_path = "/data/models/melgan-swpark/shared_melgan_container-2020.01.04.pt"
file_path = "shared_melgan_container-2020.01.04.pt"
description = "Unknown"
[[melgan]]
file_path = "/data/models/melgan-swpark/shared_melgan_container-2020.01.05.pt"
file_path = "shared_melgan_container-2020.01.05.pt"
description = "Unknown"