Update README.md

This commit is contained in:
aufr33 2021-05-30 07:12:18 +03:00 committed by GitHub
parent 661d421067
commit 13a1a3880e
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -37,11 +37,12 @@ Please note, this version is based on vocal-remover 4.0.0 of tsurumeso's origina
- New format of spectrograms. Instead of a single spectrogram with a fixed FFT size, combined spectrograms are now used. This version combines several different types of spectrograms within specific frequency ranges. This approach allowed for a clearer view of the high frequencies and good resolutions at low frequencies, thus allowing for more targeted vocal removals. - New format of spectrograms. Instead of a single spectrogram with a fixed FFT size, combined spectrograms are now used. This version combines several different types of spectrograms within specific frequency ranges. This approach allowed for a clearer view of the high frequencies and good resolutions at low frequencies, thus allowing for more targeted vocal removals.
- The arguments --sr, --n_fft, --hop_length are removed. JSON files are now used instead. - The arguments --sr, --n_fft, --hop_length are removed. JSON files are now used instead.
- The following new features were added - The following new features were added
- **--high_end_process** - This argument restores the high frequencies of the instrumental (but not the vocals). It is intended for models with a narrow bandwidth, 16 kHz and below. The 4 choices for this argument are: - **--high_end_process** - This argument restores the high frequencies of the instrumental (but not the vocals). It is intended for models with a narrow bandwidth, 16 kHz and below. The 5 choices for this argument are:
- *none* - No processing (default) - *none* - No processing (default)
- *bypass* - This copies the missing frequencies from the input. - *bypass* - This copies the missing frequencies from the input.
- *correlation* - This also copies missing frequencies from the input, however, the magnitude of the copied frequency will depend on the magnitude of the generated instrumental's high frequencies. - *correlation* - This also copies missing frequencies from the input, however, the magnitude of the copied frequency will depend on the magnitude of the generated instrumental's high frequencies. It will be removed in the final release.
- *mirroring* - This is a more advanced algorithm than correlation. It uses the high frequencies from the input and mirrored instrumental's frequencies. - *mirroring* - This is a more advanced algorithm than correlation. It uses the high frequencies from the input and mirrored instrumental's frequencies.
- *mirroring2* - A more optimized version of the mirroring.
- **--aggressiveness** - This argument allows you to set how strong the vocal removal will be. The range is 0.0-1.0 The higher the value, the more the vocals will be removed. Please note, the highest value can result in muddy sounding instrumentals depending on the track being converted, so this isn't always recommended. The default is 0.1. For the vocal model specifically, the recommended value is 0.5-0.6. - **--aggressiveness** - This argument allows you to set how strong the vocal removal will be. The range is 0.0-1.0 The higher the value, the more the vocals will be removed. Please note, the highest value can result in muddy sounding instrumentals depending on the track being converted, so this isn't always recommended. The default is 0.1. For the vocal model specifically, the recommended value is 0.5-0.6.
- **--deepextraction** - This argument generates an additional instrumental output with deep artifact vocal removal. This option is experimental and is more suited for acoustic or other light types of tracks with stubborn vocals. Many others might sound bad. - **--deepextraction** - This argument generates an additional instrumental output with deep artifact vocal removal. This option is experimental and is more suited for acoustic or other light types of tracks with stubborn vocals. Many others might sound bad.