vits singing voice conversion based on ppg & hubert
VI-SVC model is just VITS without MAS and DurationPredictor. Big data [more and more wave] make things to be interesing!
import os
import librosa
import pyworld
import utils
import numpy as np
from scipy.io import wavfile
class FeatureInput(object):
def __init__(self, samplerate=16000, hop_size=160):
self.fs = samplerate
self.hop = hop_size
self.f0_bin = 256
self.f0_max = 1100.0
self.f0_min = 50.0
self.f0_mel_min = 1127 * np.log(1 + self.f0_min / 700)
self.f0_mel_max = 1127 * np.log(1 + self.f0_max / 700)
def compute_f0(self, path):
x, sr = librosa.load(path, sr=self.fs)
assert sr == self.fs
f0, t = pyworld.dio(
x.astype(np.double),
fs=sr,
f0_ceil=800,
frame_period=1000 * self.hop / sr,
)
f0 = pyworld.stonemask(x.astype(np.double), f0, t, self.fs)
for index, pitch in enumerate(f0):
f0[index] = round(pitch, 1)
return f0
# for numpy # code from diffsinger
def coarse_f0(self, f0):
f0_mel = 1127 * np.log(1 + f0 / 700)
f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - self.f0_mel_min) * (
self.f0_bin - 2
) / (self.f0_mel_max - self.f0_mel_min) + 1
# use 0 or 1
f0_mel[f0_mel <= 1] = 1
f0_mel[f0_mel > self.f0_bin - 1] = self.f0_bin - 1
f0_coarse = np.rint(f0_mel).astype(np.int)
assert f0_coarse.max() <= 255 and f0_coarse.min() >= 1, (
f0_coarse.max(),
f0_coarse.min(),
)
return f0_coarse使用开源库实现的用于特定场景的独有代码，就不能是原创？在svc-develop-team那里竟1+1=2的常识？
大部分数学推导都由四则运算实现，按svc-develop-team的逻辑，所有使用四则运算的数学推导都不构成原创？
这就是svc-develop-team违反开源协议理由，窃取别人代码，还反过来各种贼喊捉贼？
直接拷贝代码文件，都还能说成来自world库的示例，一个人竟然可以无耻到这样的地步，真的是刷新了我的认知。
svc-develop-team说上面代码是world库的示例，请把代码链接放出来？
直接拷贝代码文件都能说的如此无耻，更何况代码背后还涉及的系统架构、设计思想等没法举证的呢？高知青年就这样？
可以看到，只有在使用从本项目拷贝的代码后，svc-develop-team的项目才步入正轨，之前都是瞎搞
但svc-develop-team，在消化融合本项目代码后，将本项目的项目信息删除，理由竟然是相关代码为world库示例，那可是直接拷贝的代码
在svc-develop-team的强盗逻辑中，基于开源库实现的功能都不是原创，这就不奇怪他们能将BigVGAN称为他们原创HiFiGAN-with-snake声码器了
开发so-vits-svc-5.0某些意义上就是了为维权，证明我能做的比svc-develop-team好
然而svc-develop-team恬不知耻的再次来拷贝代码，具体包括so-vits-svc-5.0中的whisper和bigvgan等相关代码
面对svc-develop-team不遵守开源协议和贼喊捉贼的行为，本人在学术圈发文曝光了svc-develop-team的问题
虽然svc-develop-team的Rcell私聊本人达成和解，然而如NaruseMioShirakana等其他开发者，利用B站用户不懂代码、在B站带节奏造谣
PopCS https://github.com/MoonInTheRiver/DiffSinger/blob/master/resources/apply_form.md
opencpop https://wenet.org.cn/opencpop/download/
OpenSinger https://github.com/Multi-Singer/Multi-Singer.github.io
M4Singer https://github.com/M4Singer/M4Singer/blob/master/apply_form.md
CSD https://zenodo.org/record/4785016#.YxqrTbaOMU4
KSS https://www.kaggle.com/datasets/bryanpark/korean-single-speaker-speech-dataset
JVS MuSic https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_music
PJS https://sites.google.com/site/shinnosuketakamichi/research-topics/pjs_corpus
JUST Song https://sites.google.com/site/shinnosuketakamichi/publication/jsut-song
MUSDB18 https://sigsep.github.io/datasets/musdb.html#musdb18-compressed-stems
DSD100 https://sigsep.github.io/datasets/dsd100.html
Aishell-3 http://www.aishelltech.com/aishell_3
VCTK https://datashare.ed.ac.uk/handle/10283/2651
use base model and your voice data to fine tune, just voice data（speech or song） without lables.
NSF-VI-SVC based on openai/whisper