From e4cf7a4bbb78adb514aa866f26e32eb5a844d05c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=BC=A0=E6=98=A5=E4=B9=94?= <83450930+Liyulingyue@users.noreply.github.com> Date: Sun, 1 Dec 2024 05:23:33 +0800 Subject: [PATCH] Apply suggestions from code review --- paddlespeech/t2s/exps/gan_vocoder/preprocess.py | 6 +++--- paddlespeech/t2s/exps/jets/preprocess.py | 6 +++--- paddlespeech/t2s/exps/speedyspeech/gen_gta_mel.py | 6 +++--- paddlespeech/t2s/exps/speedyspeech/preprocess.py | 6 +++--- paddlespeech/t2s/exps/tacotron2/preprocess.py | 6 +++--- paddlespeech/t2s/exps/vits/preprocess.py | 6 +++--- 6 files changed, 18 insertions(+), 18 deletions(-) diff --git a/paddlespeech/t2s/exps/gan_vocoder/preprocess.py b/paddlespeech/t2s/exps/gan_vocoder/preprocess.py index a30c14a2b..c1513e0c4 100644 --- a/paddlespeech/t2s/exps/gan_vocoder/preprocess.py +++ b/paddlespeech/t2s/exps/gan_vocoder/preprocess.py @@ -205,9 +205,9 @@ def main(): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:] diff --git a/paddlespeech/t2s/exps/jets/preprocess.py b/paddlespeech/t2s/exps/jets/preprocess.py index 76854c2ee..468941ead 100644 --- a/paddlespeech/t2s/exps/jets/preprocess.py +++ b/paddlespeech/t2s/exps/jets/preprocess.py @@ -314,9 +314,9 @@ def main(): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:] diff --git a/paddlespeech/t2s/exps/speedyspeech/gen_gta_mel.py b/paddlespeech/t2s/exps/speedyspeech/gen_gta_mel.py index deccfe1e6..31b7d2eac 100644 --- a/paddlespeech/t2s/exps/speedyspeech/gen_gta_mel.py +++ b/paddlespeech/t2s/exps/speedyspeech/gen_gta_mel.py @@ -90,9 +90,9 @@ def evaluate(args, speedyspeech_config): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:] diff --git a/paddlespeech/t2s/exps/speedyspeech/preprocess.py b/paddlespeech/t2s/exps/speedyspeech/preprocess.py index af3070614..75a1b0791 100644 --- a/paddlespeech/t2s/exps/speedyspeech/preprocess.py +++ b/paddlespeech/t2s/exps/speedyspeech/preprocess.py @@ -237,9 +237,9 @@ def main(): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:] diff --git a/paddlespeech/t2s/exps/tacotron2/preprocess.py b/paddlespeech/t2s/exps/tacotron2/preprocess.py index 96eb64616..46b725916 100644 --- a/paddlespeech/t2s/exps/tacotron2/preprocess.py +++ b/paddlespeech/t2s/exps/tacotron2/preprocess.py @@ -228,9 +228,9 @@ def main(): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:] diff --git a/paddlespeech/t2s/exps/vits/preprocess.py b/paddlespeech/t2s/exps/vits/preprocess.py index c8dca4563..23c959d43 100644 --- a/paddlespeech/t2s/exps/vits/preprocess.py +++ b/paddlespeech/t2s/exps/vits/preprocess.py @@ -241,9 +241,9 @@ def main(): if args.dataset == "baker": wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) - # split data into 3 sections, the max number of dev/test is 10% or 100 - num_dev = min(int(len(wav_files) * 0.1), 100) - num_train = len(wav_files) - num_dev * 2 + # split data into 3 sections + num_train = 9800 + num_dev = 100 train_wav_files = wav_files[:num_train] dev_wav_files = wav_files[num_train:num_train + num_dev] test_wav_files = wav_files[num_train + num_dev:]