https://github.com/zzw922cn/lpc_for_tts

Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.
https://github.com/zzw922cn/lpc_for_tts

audiocompression lpc lpcnet mel-spectrogram tts vocoder wavernn

Last synced: 5 months ago
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Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.

• Host: GitHub
• URL: https://github.com/zzw922cn/lpc_for_tts
• Owner: zzw922cn
• Created: 2021-03-19T11:43:48.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-19T11:50:27.000Z (over 4 years ago)
• Last Synced: 2023-10-21T00:08:42.885Z (almost 2 years ago)
• Topics: audiocompression, lpc, lpcnet, mel-spectrogram, tts, vocoder, wavernn
• Language: Python
• Homepage:
• Size: 652 KB
• Stars: 63
• Watchers: 6
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# LPC_for_TTS

Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.

基于Levinson-Durbin归纳法来做线性预测系数的估计。此代码可用于LPC系数的估计，也可用于LPCNet等合成器的特征提取。流程是从音频得到梅尔谱，梅尔谱得到LPC。

```Python

from audio import *

import numpy as np

from hparams import Hparams as hparams

input_wav_file = 'test.wav'

sample_rate = 24000

lpc_order = 8

orig_audio, pred_audio, residual, lpcs = lpc_audio(input_wav_file, lpc_order, hparams)

save_wav(pred_audio, 'wavs/pred.wav', hparams)

save_wav(orig_audio, 'wavs/orig.wav', hparams)

save_wav(residual, 'wavs/error.wav', hparams)

```

Raw audio:

![image](https://user-images.githubusercontent.com/11649939/111761869-562df580-88db-11eb-933f-be4c07712d25.png)

Predicted audio:

![image](https://user-images.githubusercontent.com/11649939/111761943-67770200-88db-11eb-957d-73197d9e4e46.png)

Prediction error:

![image](https://user-images.githubusercontent.com/11649939/111762018-7b226880-88db-11eb-9efb-43c32ff942ae.png)