Python spleeterのインストール
Pythonに戻る
2024年11月のログ
2024年11月頃、再度違う環境でSpleeterを使うための作業をしましたら、2023年1月の手順だけではインストールできなくなっていましたので追記しておきます。Python3.12では無理で、Python3.8を使わないとインストールできませんでした。つまずいた人は以下のようにcondaコマンドで3.8環境を立ち上げて切り替えて使うとよいでしょう。
(base) [current_path]>conda create -n py38_env python=3.8
(base) [current_path]>conda activate py38_env
(py38_env) [current_path]>
の状態で2023年1月のログの手順を実行するといいでしょう。元に3.12の環境とかに戻すには
(py38_env) [current_path]>conda activate py38_env
(base) [current_path]>
とします。
2023年1月のログ
DynapadN72でspleeterを使うため再度作業をしましたので、その時の作業ログです。
- まず、Anacondaを使うので、Python関連のアプリをWindowsのアプリと機能から削除します。以前はminiCondaでやらないとうまく行きませんでしたが、改善されていると信じて。公式でAnacondaとかを使うときは全部削除した方が安全と言っているので、そのとおりにしました。以前に作ったプログラムは消えないと言っているのでなんの躊躇もありません。えいっ！
- そしてAnaconda Windows64Bit版を入れます。えいっ！
- 管理者権限でコマンドプロンプトを起動します。そして
(base) … >conda init
とします。
- 次にAnacondaを有効にするため
(base) … >conda activate
とします。
- 次に次回からAnacondaの有効化を自動でやってもらいたいので
(base) … >conda config --set auto_activate_base true
とします。
- 忘れないうちに、Powershellも管理者権限で起動して、必要な設定を実施します。今回は使いません。
(base) … >Set-ExecutionPolicy RemoteSigned -Scope CurrentUser -Force
とします。Powershellは使わないので、閉じちゃいます。えいっ！
- c:\spleeterで作業するので、ディレクトリ作成とカレントディレクトリの移動処理をします。
(base) … >cd c:\
(base) c:\ >mkdir spleeter
(base) c:\ >cd spleeter
(base) c:\spleeter >
- spleeterのインストール指示をします。まずは、ffmpegとlibsndfileをインストールします。
(base) c:\spleeter >conda install -c conda-forge ffmpeg libsndfile
以下のようなログを得ます。
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 22.9.0
latest version: 22.11.1
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: C:\ProgramData\Anaconda3
added / updated specs:
- ffmpeg
- libsndfile
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-22.11.1 | py39hcbf5309_1 908 KB conda-forge
ffmpeg-4.3.1 | ha925a31_0 26.2 MB conda-forge
libflac-1.3.4 | h0e60522_0 355 KB conda-forge
libogg-1.3.4 | h8ffe710_1 34 KB conda-forge
libopus-1.3.1 | h8ffe710_1 255 KB conda-forge
libsndfile-1.0.31 | h0e60522_1 354 KB conda-forge
libvorbis-1.3.7 | h0e60522_0 267 KB conda-forge
python_abi-3.9 | 2_cp39 4 KB conda-forge
ruamel.yaml-0.17.21 | py39hb82d6ee_1 169 KB conda-forge
ruamel.yaml.clib-0.2.6 | py39h2bbff1b_1 101 KB
------------------------------------------------------------
Total: 28.5 MB
The following NEW packages will be INSTALLED:
ffmpeg conda-forge/win-64::ffmpeg-4.3.1-ha925a31_0 None
libflac conda-forge/win-64::libflac-1.3.4-h0e60522_0 None
libogg conda-forge/win-64::libogg-1.3.4-h8ffe710_1 None
libopus conda-forge/win-64::libopus-1.3.1-h8ffe710_1 None
libsndfile conda-forge/win-64::libsndfile-1.0.31-h0e60522_1 None
libvorbis conda-forge/win-64::libvorbis-1.3.7-h0e60522_0 None
python_abi conda-forge/win-64::python_abi-3.9-2_cp39 None
ruamel.yaml conda-forge/win-64::ruamel.yaml-0.17.21-py39hb82d6ee_1 None
ruamel.yaml.clib pkgs/main/win-64::ruamel.yaml.clib-0.2.6-py39h2bbff1b_1 None
The following packages will be UPDATED:
conda pkgs/main::conda-22.9.0-py39haa95532_0 --> conda-forge::conda-22.11.1-py39hcbf5309_1 None
- ffmpegとlibsndfileをインストール確認がされますので、yで続行指示をします。えいっ。
Proceed ([y]/n)? y
引き続き、以下のようなログを得ます。
Downloading and Extracting Packages
libogg-1.3.4 | 34 KB | ############################################################################ | 100%
libsndfile-1.0.31 | 354 KB | ############################################################################ | 100%
ffmpeg-4.3.1 | 26.2 MB | ############################################################################ | 100%
conda-22.11.1 | 908 KB | ############################################################################ | 100%
python_abi-3.9 | 4 KB | ############################################################################ | 100%
libvorbis-1.3.7 | 267 KB | ############################################################################ | 100%
libopus-1.3.1 | 255 KB | ############################################################################ | 100%
libflac-1.3.4 | 355 KB | ############################################################################ | 100%
ruamel.yaml-0.17.21 | 169 KB | ############################################################################ | 100%
ruamel.yaml.clib-0.2 | 101 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Retrieving notices: ...working... done
- 次に、spleeter本体を得ます。
(base) c:\spleeter >pip install spleeter
とすると、以下のようなログを得ます。
Collecting spleeter
Downloading spleeter-2.3.2-py3-none-any.whl (51 kB)
---------------------------------------- 51.2/51.2 kB 649.7 kB/s eta 0:00:00
Collecting librosa<0.9.0,>=0.8.0
Downloading librosa-0.8.1-py3-none-any.whl (203 kB)
---------------------------------------- 203.8/203.8 kB 2.5 MB/s eta 0:00:00
Collecting typer<0.4.0,>=0.3.2
Downloading typer-0.3.2-py3-none-any.whl (21 kB)
Collecting ffmpeg-python==0.2.0
Downloading ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)
Collecting protobuf<4.0.0,>=3.19.4
Downloading protobuf-3.20.3-cp39-cp39-win_amd64.whl (904 kB)
---------------------------------------- 904.2/904.2 kB 4.8 MB/s eta 0:00:00
Requirement already satisfied: pandas<2.0,>=1.2 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (1.4.4)
Collecting httpx[http2]<0.20.0,>=0.19.0
Downloading httpx-0.19.0-py3-none-any.whl (77 kB)
---------------------------------------- 77.3/77.3 kB 2.2 MB/s eta 0:00:00
Requirement already satisfied: llvmlite<0.39.0,>=0.38.0 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (0.38.0)
Collecting norbert==0.2.1
Downloading norbert-0.2.1-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: numpy<2.0.0,>=1.19.2 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (1.21.5)
Collecting tensorflow<3.0.0,>=2.5.0
Downloading tensorflow-2.11.0-cp39-cp39-win_amd64.whl (1.9 kB)
Requirement already satisfied: future in c:\programdata\anaconda3\lib\site-packages (from ffmpeg-python==0.2.0->spleeter) (0.18.2)
Requirement already satisfied: scipy in c:\programdata\anaconda3\lib\site-packages (from norbert==0.2.1->spleeter) (1.9.1)
Requirement already satisfied: certifi in c:\programdata\anaconda3\lib\site-packages (from httpx[http2]<0.20.0,>=0.19.0->spleeter) (2022.9.14)
Collecting rfc3986[idna2008]<2,>=1.3
Downloading rfc3986-1.5.0-py2.py3-none-any.whl (31 kB)
Collecting httpcore<0.14.0,>=0.13.3
Downloading httpcore-0.13.7-py3-none-any.whl (58 kB)
---------------------------------------- 58.8/58.8 kB 3.0 MB/s eta 0:00:00
Requirement already satisfied: sniffio in c:\programdata\anaconda3\lib\site-packages (from httpx[http2]<0.20.0,>=0.19.0->spleeter) (1.2.0)
Requirement already satisfied: charset-normalizer in c:\programdata\anaconda3\lib\site-packages (from httpx[http2]<0.20.0,>=0.19.0->spleeter) (2.0.4)
Collecting h2<5,>=3
Downloading h2-4.1.0-py3-none-any.whl (57 kB)
---------------------------------------- 57.5/57.5 kB 1.5 MB/s eta 0:00:00
Requirement already satisfied: packaging>=20.0 in c:\programdata\anaconda3\lib\site-packages (from librosa<0.9.0,>=0.8.0->spleeter) (21.3)
Requirement already satisfied: joblib>=0.14 in c:\programdata\anaconda3\lib\site-packages (from librosa<0.9.0,>=0.8.0->spleeter) (1.1.0)
Collecting pooch>=1.0
Downloading pooch-1.6.0-py3-none-any.whl (56 kB)
---------------------------------------- 56.3/56.3 kB 742.2 kB/s eta 0:00:00
Requirement already satisfied: decorator>=3.0.0 in c:\programdata\anaconda3\lib\site-packages (from librosa<0.9.0,>=0.8.0->spleeter) (5.1.1)
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in c:\programdata\anaconda3\lib\site-packages (from librosa<0.9.0,>=0.8.0->spleeter) (1.0.2)
Collecting audioread>=2.0.0
Downloading audioread-3.0.0.tar.gz (377 kB)
---------------------------------------- 377.0/377.0 kB 2.6 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Collecting soundfile>=0.10.2
Downloading soundfile-0.11.0-py2.py3-none-win_amd64.whl (1.0 MB)
---------------------------------------- 1.0/1.0 MB 2.6 MB/s eta 0:00:00
Collecting resampy>=0.2.2
Downloading resampy-0.4.2-py3-none-any.whl (3.1 MB)
---------------------------------------- 3.1/3.1 MB 5.2 MB/s eta 0:00:00
Requirement already satisfied: numba>=0.43.0 in c:\programdata\anaconda3\lib\site-packages (from librosa<0.9.0,>=0.8.0->spleeter) (0.55.1)
Requirement already satisfied: pytz>=2020.1 in c:\programdata\anaconda3\lib\site-packages (from pandas<2.0,>=1.2->spleeter) (2022.1)
Requirement already satisfied: python-dateutil>=2.8.1 in c:\programdata\anaconda3\lib\site-packages (from pandas<2.0,>=1.2->spleeter) (2.8.2)
Collecting tensorflow-intel==2.11.0
Downloading tensorflow_intel-2.11.0-cp39-cp39-win_amd64.whl (266.3 MB)
---------------------------------------- 266.3/266.3 MB 405.9 kB/s eta 0:00:00
Collecting flatbuffers>=2.0
Downloading flatbuffers-23.1.4-py2.py3-none-any.whl (26 kB)
Requirement already satisfied: h5py>=2.9.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (3.7.0)
Requirement already satisfied: wrapt>=1.11.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (1.14.1)
Collecting libclang>=13.0.0
Downloading libclang-14.0.6-py2.py3-none-win_amd64.whl (14.2 MB)
---------------------------------------- 14.2/14.2 MB 6.3 MB/s eta 0:00:00
Collecting tensorflow-estimator<2.12,>=2.11.0
Downloading tensorflow_estimator-2.11.0-py2.py3-none-any.whl (439 kB)
---------------------------------------- 439.2/439.2 kB 5.5 MB/s eta 0:00:00
Requirement already satisfied: six>=1.12.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (1.16.0)
Requirement already satisfied: setuptools in c:\programdata\anaconda3\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (63.4.1)
Collecting absl-py>=1.0.0
Downloading absl_py-1.3.0-py3-none-any.whl (124 kB)
---------------------------------------- 124.6/124.6 kB 3.7 MB/s eta 0:00:00
Collecting grpcio<2.0,>=1.24.3
Downloading grpcio-1.51.1-cp39-cp39-win_amd64.whl (3.7 MB)
---------------------------------------- 3.7/3.7 MB 7.5 MB/s eta 0:00:00
Collecting opt-einsum>=2.3.2
Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
---------------------------------------- 65.5/65.5 kB 1.8 MB/s eta 0:00:00
Collecting gast<=0.4.0,>=0.2.1
Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1
Downloading tensorflow_io_gcs_filesystem-0.29.0-cp39-cp39-win_amd64.whl (1.5 MB)
---------------------------------------- 1.5/1.5 MB 5.9 MB/s eta 0:00:00
Collecting astunparse>=1.6.0
Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting tensorboard<2.12,>=2.11
Downloading tensorboard-2.11.0-py3-none-any.whl (6.0 MB)
---------------------------------------- 6.0/6.0 MB 8.1 MB/s eta 0:00:00
Collecting termcolor>=1.1.0
Downloading termcolor-2.2.0-py3-none-any.whl (6.6 kB)
Collecting google-pasta>=0.1.1
Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
---------------------------------------- 57.5/57.5 kB 1.5 MB/s eta 0:00:00
Collecting keras<2.12,>=2.11.0
Downloading keras-2.11.0-py2.py3-none-any.whl (1.7 MB)
---------------------------------------- 1.7/1.7 MB 7.1 MB/s eta 0:00:00
Collecting protobuf<4.0.0,>=3.19.4
Downloading protobuf-3.19.6-cp39-cp39-win_amd64.whl (895 kB)
---------------------------------------- 895.9/895.9 kB 7.1 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions>=3.6.6 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (4.3.0)
Collecting click<7.2.0,>=7.1.1
Downloading click-7.1.2-py2.py3-none-any.whl (82 kB)
---------------------------------------- 82.8/82.8 kB 2.3 MB/s eta 0:00:00
Collecting hpack<5,>=4.0
Downloading hpack-4.0.0-py3-none-any.whl (32 kB)
Collecting hyperframe<7,>=6.0
Downloading hyperframe-6.0.1-py3-none-any.whl (12 kB)
Requirement already satisfied: anyio==3.* in c:\programdata\anaconda3\lib\site-packages (from httpcore<0.14.0,>=0.13.3->httpx[http2]<0.20.0,>=0.19.0->spleeter) (3.5.0)
Collecting h11<0.13,>=0.11
Downloading h11-0.12.0-py3-none-any.whl (54 kB)
---------------------------------------- 54.9/54.9 kB 1.4 MB/s eta 0:00:00
Requirement already satisfied: idna>=2.8 in c:\programdata\anaconda3\lib\site-packages (from anyio==3.*->httpcore<0.14.0,>=0.13.3->httpx[http2]<0.20.0,>=0.19.0->spleeter) (3.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in c:\programdata\anaconda3\lib\site-packages (from packaging>=20.0->librosa<0.9.0,>=0.8.0->spleeter) (3.0.9)
Requirement already satisfied: appdirs>=1.3.0 in c:\programdata\anaconda3\lib\site-packages (from pooch>=1.0->librosa<0.9.0,>=0.8.0->spleeter) (1.4.4)
Requirement already satisfied: requests>=2.19.0 in c:\programdata\anaconda3\lib\site-packages (from pooch>=1.0->librosa<0.9.0,>=0.8.0->spleeter) (2.28.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in c:\programdata\anaconda3\lib\site-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa<0.9.0,>=0.8.0->spleeter) (2.2.0)
Requirement already satisfied: cffi>=1.0 in c:\programdata\anaconda3\lib\site-packages (from soundfile>=0.10.2->librosa<0.9.0,>=0.8.0->spleeter) (1.15.1)
Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\programdata\anaconda3\lib\site-packages (from astunparse>=1.6.0->tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (0.37.1)
Requirement already satisfied: pycparser in c:\programdata\anaconda3\lib\site-packages (from cffi>=1.0->soundfile>=0.10.2->librosa<0.9.0,>=0.8.0->spleeter) (2.21)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\programdata\anaconda3\lib\site-packages (from requests>=2.19.0->pooch>=1.0->librosa<0.9.0,>=0.8.0->spleeter) (1.26.11)
Collecting tensorboard-plugin-wit>=1.6.0
Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)
---------------------------------------- 781.3/781.3 kB 8.2 MB/s eta 0:00:00
Collecting google-auth<3,>=1.6.3
Downloading google_auth-2.15.0-py2.py3-none-any.whl (177 kB)
---------------------------------------- 177.0/177.0 kB 2.6 MB/s eta 0:00:00
Collecting tensorboard-data-server<0.7.0,>=0.6.0
Downloading tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Requirement already satisfied: werkzeug>=1.0.1 in c:\programdata\anaconda3\lib\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (2.0.3)
Requirement already satisfied: markdown>=2.6.8 in c:\programdata\anaconda3\lib\site-packages (from tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (3.3.4)
Collecting google-auth-oauthlib<0.5,>=0.4.1
Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Requirement already satisfied: pyasn1-modules>=0.2.1 in c:\programdata\anaconda3\lib\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (0.2.8)
Collecting rsa<5,>=3.1.4
Downloading rsa-4.9-py3-none-any.whl (34 kB)
Collecting cachetools<6.0,>=2.0.0
Downloading cachetools-5.2.0-py3-none-any.whl (9.3 kB)
Collecting requests-oauthlib>=0.7.0
Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in c:\programdata\anaconda3\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow-intel==2.11.0->tensorflow<3.0.0,>=2.5.0->spleeter) (0.4.8)
Collecting oauthlib>=3.0.0
Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)
---------------------------------------- 151.7/151.7 kB 2.3 MB/s eta 0:00:00
Building wheels for collected packages: audioread
Building wheel for audioread (setup.py) ... done
Created wheel for audioread: filename=audioread-3.0.0-py3-none-any.whl size=23703 sha256=7d964c391558f9cad8603d4a05f934807290c5c925855964e7ae4b53a65d8419
Stored in directory: c:\users\speci\appdata\local\pip\cache\wheels\e4\76\a4\cfb55573167a1f5bde7d7a348e95e509c64b2c3e8f921932c3
Successfully built audioread
Installing collected packages: tensorboard-plugin-wit, rfc3986, libclang, flatbuffers, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, rsa, protobuf, opt-einsum, oauthlib, keras, hyperframe, hpack, h11, grpcio, google-pasta, gast, ffmpeg-python, click, cachetools, audioread, astunparse, absl-py, typer, soundfile, resampy, requests-oauthlib, pooch, norbert, httpcore, h2, google-auth, librosa, httpx, google-auth-oauthlib, tensorboard, tensorflow-intel, tensorflow, spleeter
Attempting uninstall: click
Found existing installation: click 8.0.4
Uninstalling click-8.0.4:
Successfully uninstalled click-8.0.4
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
black 22.6.0 requires click>=8.0.0, but you have click 7.1.2 which is incompatible.
Successfully installed absl-py-1.3.0 astunparse-1.6.3 audioread-3.0.0 cachetools-5.2.0 click-7.1.2 ffmpeg-python-0.2.0 flatbuffers-23.1.4 gast-0.4.0 google-auth-2.15.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.51.1 h11-0.12.0 h2-4.1.0 hpack-4.0.0 httpcore-0.13.7 httpx-0.19.0 hyperframe-6.0.1 keras-2.11.0 libclang-14.0.6 librosa-0.8.1 norbert-0.2.1 oauthlib-3.2.2 opt-einsum-3.3.0 pooch-1.6.0 protobuf-3.19.6 requests-oauthlib-1.3.1 resampy-0.4.2 rfc3986-1.5.0 rsa-4.9 soundfile-0.11.0 spleeter-2.3.2 tensorboard-2.11.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.11.0 tensorflow-estimator-2.11.0 tensorflow-intel-2.11.0 tensorflow-io-gcs-filesystem-0.29.0 termcolor-2.2.0 typer-0.3.2
はい。でましたエラーです。click？なんそれ？バージョン8.0.0以上でいい？
- clickのエラーを回復します。
(base) c:\spleeter >pip install click>=8.0.0
(base) c:\spleeter >
何もエラーもログも出ませんでした。
- もう一度、spleeter本体を得ます。
(base) c:\spleeter >pip install spleeter
とすると、以下のようなログを得ます。
Requirement already satisfied: spleeter in c:\programdata\anaconda3\lib\site-packages (2.3.2)
Requirement already satisfied: httpx[http2]<0.20.0,>=0.19.0 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (0.19.0)
Requirement already satisfied: norbert==0.2.1 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (0.2.1)
Requirement already satisfied: ffmpeg-python==0.2.0 in c:\programdata\anaconda3\lib\site-packages (from spleeter) (0.2.0)
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という感じで、うまく行きました。使えますね。
次に試しに、2stem、4stem、5stemの抽出処理を、実施します。3stemは存在しません。あしからず。
- サンプルをhttps://github.com/deezer/spleeter/raw/master/audio_example.mp3からダウンロードして、c:\spleterに保存します。
- まずは2Stemの処理をします。いずれの処理も初回だけ、最初にモデルをダウンロードしようとします。なのでちょっと時間がかかります。
(base) c:\spleeter>spleeter separate -p spleeter:2stems -o 2stem_output audio_example.mp3
すると以下のようなログを得ます。うまくいった例です。
C:\ProgramData\Anaconda3\lib\site-packages\paramiko\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated
"class": algorithms.Blowfish,
INFO:spleeter:Downloading model archive https://github.com/deezer/spleeter/releases/download/v1.4.0/2stems.tar.gz
INFO:spleeter:Validating archive checksum
INFO:spleeter:Extracting downloaded 2stems archive
INFO:spleeter:2stems model file(s) extracted
INFO:spleeter:File 2stem_output\audio_example/vocals.wav written succesfully
INFO:spleeter:File 2stem_output\audio_example/accompaniment.wav written succesfully
警告が表示されますが、気にしないでよいでしょう。
- 次に4Stemを実施します。
(base) c:\spleeter>spleeter separate -p spleeter:4stems -o 4stem_output audio_example.mp3
すると以下のようなログを得ます。うまくいった例です。
C:\ProgramData\Anaconda3\lib\site-packages\paramiko\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated
"class": algorithms.Blowfish,
INFO:spleeter:Downloading model archive https://github.com/deezer/spleeter/releases/download/v1.4.0/4stems.tar.gz
INFO:spleeter:Validating archive checksum
INFO:spleeter:Extracting downloaded 4stems archive
INFO:spleeter:4stems model file(s) extracted
INFO:spleeter:File output\audio_example/drums.wav written succesfully
INFO:spleeter:File output\audio_example/bass.wav written succesfully
INFO:spleeter:File output\audio_example/vocals.wav written succesfully
INFO:spleeter:File output\audio_example/other.wav written succesfully
警告が表示されますが、気にしないでよいでしょう。
- 次に5Stemを実施します。
(base) c:\spleeter>spleeter separate -p spleeter:5stems -o 5stem_output audio_example.mp3
すると以下のようなログを得ます。うまくいった例です。
C:\ProgramData\Anaconda3\lib\site-packages\paramiko\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated
"class": algorithms.Blowfish,
INFO:spleeter:File 5stem_output\audio_example/piano.wav written succesfully
INFO:spleeter:File 5stem_output\audio_example/bass.wav written succesfully
INFO:spleeter:File 5stem_output\audio_example/vocals.wav written succesfully
INFO:spleeter:File 5stem_output\audio_example/drums.wav written succesfully
INFO:spleeter:File 5stem_output\audio_example/other.wav written succesfully
警告が表示されますが、気にしないでよいでしょう。という具合に使います。
自分の音楽を抽出処理するときは、spleeterコマンドのオプション -o の後ろの *stem_output というのが、出力フォルダなのでなので、ここを任意に変えるとよいでしょう。あとは、入力は一番後ろの audio_example.mp3 というのがファイル名です。
ドラムとベースのどちらかを消すというのは難しそうです。二つで一つって感じがしますね。歌声は完全に切り離せます。イメージとしては、歌 と ドラムベース と その他 で切り離せるというイメージでいいんちゃうかな。すると ギター や 歌の練習はしやすいかもしれませんね。耳コピするときも分離してから作業すると音のいりまじる感じが低減されてやりやすいかもね。年月がたって、Web上のサービスを立ち上げてるんで、Pythonを操りたくない人でも使えるようになっているのは、よいことですね。でも、世に放てないようなファイルばかりが抽出の対象だと思うので、流行らないね。pythonをあやつらないことには、個人的なファイルは処理できない。覚えた方がよいでしょうね。
そんなところかな。以上。現場からでした。
2018年くらいのログ
spleeterをインストールしたときのログです。
(py36) PS C...> conda install -c conda-forge spleeter
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.3
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: C:\ProgramData\Anaconda3\envs\jupyter
added / updated specs:
- spleeter
The following packages will be downloaded:
package | build
---------------------------|-----------------
_tflow_select-2.2.0 | eigen 3 KB
decorator-4.4.2 | py_0 11 KB conda-forge
importlib-metadata-2.0.0 | py_1 28 KB conda-forge
importlib_metadata-2.0.0 | 1 3 KB conda-forge
python-dateutil-2.8.1 | py_0 220 KB conda-forge
python_abi-3.6 | 1_cp36m 4 KB conda-forge
tensorflow-1.15.0 |eigen_py36h932cce6_0 4 KB
typing-extensions-3.7.4.3 | 0 8 KB conda-forge
yarl-1.6.3 | py36h68aa20f_0 134 KB conda-forge
------------------------------------------------------------
Total: 414 KB
The following NEW packages will be INSTALLED:
_tflow_select pkgs/main/win-64::_tflow_select-2.2.0-eigen
absl-py conda-forge/win-64::absl-py-0.10.0-py36h9f0ad1d_1
aiohttp conda-forge/win-64::aiohttp-3.7.2-py36h779f372_0
appdirs conda-forge/noarch::appdirs-1.4.4-pyh9f0ad1d_0
astor conda-forge/noarch::astor-0.8.1-pyh9f0ad1d_0
async-timeout conda-forge/noarch::async-timeout-3.0.1-py_1000
attrs conda-forge/noarch::attrs-20.3.0-pyhd3deb0d_0
audioread conda-forge/win-64::audioread-2.1.8-py36h9f0ad1d_3
blinker conda-forge/noarch::blinker-1.4-py_1
brotlipy conda-forge/win-64::brotlipy-0.7.0-py36hc753bc4_1001
ca-certificates conda-forge/win-64::ca-certificates-2020.11.8-h5b45459_0
cached-property conda-forge/noarch::cached-property-1.5.1-py_0
cachetools conda-forge/noarch::cachetools-4.1.1-py_0
cffi conda-forge/win-64::cffi-1.14.3-py36h2e103f8_1
chardet conda-forge/win-64::chardet-3.0.4-py36hd36e781_1008
click conda-forge/noarch::click-7.1.2-pyh9f0ad1d_0
cryptography conda-forge/win-64::cryptography-3.2.1-py36he58ceb7_0
cycler conda-forge/noarch::cycler-0.10.0-py_2
decorator conda-forge/noarch::decorator-4.4.2-py_0
ffmpeg conda-forge/win-64::ffmpeg-4.3.1-ha925a31_0
ffmpeg-python conda-forge/noarch::ffmpeg-python-0.2.0-py_0
freetype conda-forge/win-64::freetype-2.10.4-h546665d_0
future conda-forge/win-64::future-0.18.2-py36ha15d459_2
gast conda-forge/noarch::gast-0.2.2-py_0
google-auth conda-forge/noarch::google-auth-1.23.0-pyhd8ed1ab_0
google-auth-oauth~ conda-forge/noarch::google-auth-oauthlib-0.4.1-py_2
google-pasta conda-forge/noarch::google-pasta-0.2.0-pyh8c360ce_0
grpcio conda-forge/win-64::grpcio-1.33.2-py36h4374274_2
h5py conda-forge/win-64::h5py-3.1.0-nompi_py36hf359dfe_100
hdf5 conda-forge/win-64::hdf5-1.10.6-nompi_h89124ea_1110
idna conda-forge/noarch::idna-2.10-pyh9f0ad1d_0
idna_ssl conda-forge/win-64::idna_ssl-1.1.0-py36h9f0ad1d_1001
importlib-metadata conda-forge/noarch::importlib-metadata-2.0.0-py_1
importlib_metadata conda-forge/noarch::importlib_metadata-2.0.0-1
importlib_resourc~ conda-forge/win-64::importlib_resources-3.3.0-py36ha15d459_0
intel-openmp conda-forge/win-64::intel-openmp-2020.3-h57928b3_311
joblib conda-forge/noarch::joblib-0.17.0-py_0
jpeg conda-forge/win-64::jpeg-9d-h8ffe710_0
keras-applications conda-forge/noarch::keras-applications-1.0.8-py_1
keras-preprocessi~ conda-forge/noarch::keras-preprocessing-1.1.0-py_0
kiwisolver conda-forge/win-64::kiwisolver-1.3.1-py36he95197e_0
krb5 conda-forge/win-64::krb5-1.17.1-hc04afaa_3
libblas conda-forge/win-64::libblas-3.8.0-20_mkl
libcblas conda-forge/win-64::libcblas-3.8.0-20_mkl
libcurl conda-forge/win-64::libcurl-7.71.1-h4b64cdc_8
libflac conda-forge/win-64::libflac-1.3.3-h6538335_0
liblapack conda-forge/win-64::liblapack-3.8.0-20_mkl
libogg conda-forge/win-64::libogg-1.3.2-hfa6e2cd_1002
libpng conda-forge/win-64::libpng-1.6.37-h1d00b33_2
libprotobuf conda-forge/win-64::libprotobuf-3.13.0.1-h200bbdf_0
librosa conda-forge/noarch::librosa-0.8.0-pyh9f0ad1d_0
libsndfile conda-forge/win-64::libsndfile-1.0.29-ha925a31_0
libssh2 conda-forge/win-64::libssh2-1.9.0-hb06d900_5
libtiff conda-forge/win-64::libtiff-4.1.0-hc10be44_6
libvorbis conda-forge/win-64::libvorbis-1.3.7-ha925a31_0
llvmlite conda-forge/win-64::llvmlite-0.34.0-py36hefa7ec1_2
lz4-c conda-forge/win-64::lz4-c-1.9.2-h62dcd97_2
m2w64-gcc-libgfor~ pkgs/msys2/win-64::m2w64-gcc-libgfortran-5.3.0-6
m2w64-gcc-libs pkgs/msys2/win-64::m2w64-gcc-libs-5.3.0-7
m2w64-gcc-libs-co~ pkgs/msys2/win-64::m2w64-gcc-libs-core-5.3.0-7
m2w64-gmp pkgs/msys2/win-64::m2w64-gmp-6.1.0-2
m2w64-libwinpthre~ pkgs/msys2/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2
markdown conda-forge/noarch::markdown-3.3.3-pyh9f0ad1d_0
matplotlib-base conda-forge/win-64::matplotlib-base-3.3.3-py36h1abdf75_0
mkl pkgs/main/win-64::mkl-2020.2-256
msys2-conda-epoch pkgs/msys2/win-64::msys2-conda-epoch-20160418-1
multidict conda-forge/win-64::multidict-4.7.5-py36h779f372_2
norbert conda-forge/noarch::norbert-0.2.1-py_0
numba conda-forge/win-64::numba-0.51.2-py36hd7f5668_0
numpy conda-forge/win-64::numpy-1.19.4-py36hd1b969e_1
oauthlib conda-forge/noarch::oauthlib-3.0.1-py_0
olefile conda-forge/noarch::olefile-0.46-pyh9f0ad1d_1
openssl conda-forge/win-64::openssl-1.1.1h-he774522_0
opt_einsum conda-forge/noarch::opt_einsum-3.3.0-py_0
packaging conda-forge/noarch::packaging-20.4-pyh9f0ad1d_0
pandas conda-forge/win-64::pandas-1.1.4-py36he38d939_0
pillow conda-forge/win-64::pillow-8.0.1-py36ha0524ae_0
pooch conda-forge/noarch::pooch-1.2.0-py_0
protobuf conda-forge/win-64::protobuf-3.13.0.1-py36h003fed8_1
pyasn1 conda-forge/noarch::pyasn1-0.4.8-py_0
pyasn1-modules conda-forge/noarch::pyasn1-modules-0.2.7-py_0
pycparser conda-forge/noarch::pycparser-2.20-pyh9f0ad1d_2
pyjwt conda-forge/noarch::pyjwt-1.7.1-py_0
pyopenssl conda-forge/noarch::pyopenssl-19.1.0-py_1
pyparsing conda-forge/noarch::pyparsing-2.4.7-pyh9f0ad1d_0
pyreadline conda-forge/win-64::pyreadline-2.1-py36h9f0ad1d_1002
pysocks conda-forge/win-64::pysocks-1.7.1-py36hd36e781_2
pysoundfile conda-forge/noarch::pysoundfile-0.10.2-py_1001
python-dateutil conda-forge/noarch::python-dateutil-2.8.1-py_0
python_abi conda-forge/win-64::python_abi-3.6-1_cp36m
pytz conda-forge/noarch::pytz-2020.4-pyhd8ed1ab_0
requests conda-forge/noarch::requests-2.25.0-pyhd3deb0d_0
requests-oauthlib conda-forge/noarch::requests-oauthlib-1.3.0-pyh9f0ad1d_0
resampy conda-forge/noarch::resampy-0.2.2-py_0
rsa conda-forge/noarch::rsa-4.6-pyh9f0ad1d_0
scikit-learn conda-forge/win-64::scikit-learn-0.23.2-py36h63cef00_2
scipy conda-forge/win-64::scipy-1.5.3-py36h7ff6e69_0
six conda-forge/noarch::six-1.15.0-pyh9f0ad1d_0
spleeter conda-forge/win-64::spleeter-1.5.3-py36h9f0ad1d_2
tensorboard conda-forge/noarch::tensorboard-2.4.0-pyhd8ed1ab_0
tensorboard-plugi~ conda-forge/noarch::tensorboard-plugin-wit-1.7.0-pyh9f0ad1d_0
tensorflow pkgs/main/win-64::tensorflow-1.15.0-eigen_py36h932cce6_0
tensorflow-base pkgs/main/win-64::tensorflow-base-1.15.0-eigen_py36h07d2309_0
tensorflow-estima~ pkgs/main/noarch::tensorflow-estimator-1.15.1-pyh2649769_0
termcolor conda-forge/noarch::termcolor-1.1.0-py_2
threadpoolctl conda-forge/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0
tk conda-forge/win-64::tk-8.6.10-he774522_1
tornado conda-forge/win-64::tornado-6.1-py36h68aa20f_0
typing-extensions conda-forge/noarch::typing-extensions-3.7.4.3-0
typing_extensions conda-forge/noarch::typing_extensions-3.7.4.3-py_0
urllib3 conda-forge/noarch::urllib3-1.25.11-py_0
werkzeug conda-forge/noarch::werkzeug-0.16.1-py_0
win_inet_pton conda-forge/win-64::win_inet_pton-1.1.0-py36h9f0ad1d_1
wrapt conda-forge/win-64::wrapt-1.12.1-py36h68a101e_1
xz conda-forge/win-64::xz-5.2.5-h62dcd97_1
yarl conda-forge/win-64::yarl-1.6.3-py36h68aa20f_0
zipp conda-forge/noarch::zipp-3.4.0-py_0
zstd conda-forge/win-64::zstd-1.4.5-h1f3a1b7_2
The following packages will be UPDATED:
certifi pkgs/main/noarch::certifi-2020.6.20-p~ --> conda-forge/win-64::certifi-2020.11.8-py36ha15d459_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(py36) PS C...>
こんな感じです。
(base) PS C:\.....>conda create -n py36 python=3.6 -y
(py36) PS C:\.....>conda activate py36
(py36) PS C:\.....>git clone https://github.com/deezer/spleeter
(py36) PS C:\.....>conda install -c conda-forge spleeter
(py36) PS C:\.....>spleeter separate -i C:\mp3\music.mp3 -o Output -p spleeter:2stems
INFO:spleeter:Downloading model archive https://github.com/deezer/spleeter/releases/download/v1.4.0/2stems.tar.gz
INFO:spleeter:Validating archive checksum
INFO:spleeter:Extracting downloaded 2stems archive
INFO:spleeter:2stems model file(s) extracted
INFO:spleeter:File Output/music/accompaniment.wav written succesfully
INFO:spleeter:File Output/music/vocals.wav written succesfully
(py36) PS C:\.....>spleeter separate -i C:\mp3\music.mp3 -o Output -p spleeter:4stems
INFO:spleeter:Downloading model archive https://github.com/deezer/spleeter/releases/download/v1.4.0/4stems.tar.gz
INFO:spleeter:Validating archive checksum
INFO:spleeter:Extracting downloaded 4stems archive
INFO:spleeter:4stems model file(s) extracted
INFO:spleeter:File Output/music/drums.wav written succesfully
INFO:spleeter:File Output/music/bass.wav written succesfully
INFO:spleeter:File Output/music/other.wav written succesfully
INFO:spleeter:File Output/music/vocals.wav written succesfully
(py36) PS C:\.....>spleeter separate -i C:\mp3\music.mp3 -o C:/mp3/music/5Stem/ -p spleeter:5stems
INFO:spleeter:Downloading model archive https://github.com/deezer/spleeter/releases/download/v1.4.0/5stems.tar.gz
INFO:spleeter:Validating archive checksum
INFO:spleeter:Extracting downloaded 5stems archive
INFO:spleeter:5stems model file(s) extracted
INFO:spleeter:File C:/mp3/music/5Stem/music/bass.wav written succesfully
INFO:spleeter:File C:/mp3/music/5Stem/music/vocals.wav written succesfully
INFO:spleeter:File C:/mp3/music/5Stem/music/drums.wav written succesfully
INFO:spleeter:File C:/mp3/music/5Stem/music/piano.wav written succesfully
INFO:spleeter:File C:/mp3/music/5Stem/music/other.wav written succesfully
(py36) PS C:\.....>
上記のようにして使えますが、2Stemはかなり分離できていると思います。歌だけの方はくっきりと抜き出せていて、伴奏には少し歌声が残っている感じ、歌詞はほぼ聞き取れない。メロディーがうっすら少し感じれるので、本物の生バンドよりは、カラオケ寄りかもしれない。生バンドが0、カラオケが1としたら、歌のメロディーは0.05くらいですね。まぁこれだけで歌うのは結構、難しいです。
4Stemでのドラムはハイハットが無いので、意味ない感じはある。でもハイハット無しリズムを勉強するには、いいのかもしれない。ドラムをやったことないので、ハイハット・シンバルなしの練習が意味があるのかわからないです。一人でのリズムを鍛えるにはありなのかな。多少は自分が目指すべきリズム感をイメージしやすいかもしれない。Baseは割かし抜き出せているので勉強になると思う。
5StemでのOtherにギターが残っているのかもしれないけど、他の音もいっぱい残っているので、もう少し頑張って欲しいなぁって思う所です。
ピアノはバンドの中でなっている場合は、かなり聞き取れない。音が小さい。最初から、そういうアクセント的な扱いなので仕方ないのかもしれない。頑張っている割には全体にはあまり影響が及んでいないと思うと弾いてる人はやりがいを感じれないかもしれない。シンセ音は抽出はできていないと思う。
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