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# 第1章 基礎 | ||
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Pythonで音声を扱うために必要な基礎的な知識を学ぶ。 | ||
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## 目次 | ||
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1. 音とは | ||
2. 音と波の関係 | ||
3. コンピュータで音を扱う | ||
4. Pythonで音を扱う |
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# 第2章 特徴量抽出 | ||
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音声における様々な特徴量とその抽出方法を学ぶ。 | ||
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コンピュータで音を扱う場合は波として扱う。しかし、波はそのままだと情報量が多い上にそのほとんどはノイズ(意味を持たないデータ)である。そのため、音声解析を行う場合は、元の波から意味のある値を抽出することが重要である。そしてその値を**特徴量**と呼ぶ。 | ||
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## 目次 | ||
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1. フーリエ変換 | ||
2. 定Q変換 | ||
3. クロマ周波数 | ||
4. メル周波数ケプストラム係数 | ||
5. ゼロクロス率 | ||
6. スペクトル重心 | ||
7. スペクトルロールオフ |
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# 第3章 活用 | ||
# 第3章 活用 | ||
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2章で学んだ特徴量を活用した事例について学ぶ。 | ||
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## 目次 | ||
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1. 音源分離 |
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absl-py==0.15.0 | ||
anyio==3.5.0 | ||
absl-py==1.4.0 | ||
anyio==3.6.2 | ||
appdirs==1.4.4 | ||
argon2-cffi==21.3.0 | ||
argon2-cffi-bindings==21.2.0 | ||
asttokens==2.0.5 | ||
astunparse==1.6.3 | ||
attrs==21.4.0 | ||
audeer==1.18.0 | ||
audiofile==1.0.3 | ||
audioread==2.1.9 | ||
Babel==2.9.1 | ||
backcall==0.2.0 | ||
beautifulsoup4==4.10.0 | ||
bleach==4.1.0 | ||
cachetools==5.0.0 | ||
certifi==2021.10.8 | ||
cffi==1.15.0 | ||
chardet==4.0.0 | ||
charset-normalizer==2.0.12 | ||
audioread==3.0.0 | ||
cachetools==5.3.0 | ||
certifi==2022.12.7 | ||
cffi==1.15.1 | ||
charset-normalizer==3.0.1 | ||
click==7.1.2 | ||
cycler==0.11.0 | ||
debugpy==1.6.0 | ||
decorator==5.1.1 | ||
defusedxml==0.7.1 | ||
entrypoints==0.4 | ||
executing==0.8.3 | ||
ffmpeg-python==0.2.0 | ||
flatbuffers==1.12 | ||
future==0.18.2 | ||
flatbuffers==23.1.21 | ||
future==0.18.3 | ||
gast==0.4.0 | ||
google-auth==2.6.2 | ||
google-auth==2.16.0 | ||
google-auth-oauthlib==0.4.6 | ||
google-pasta==0.2.0 | ||
grpcio==1.34.1 | ||
grpcio==1.51.1 | ||
h11==0.12.0 | ||
h2==4.1.0 | ||
h5py==3.1.0 | ||
h5py==3.8.0 | ||
hpack==4.0.0 | ||
httpcore==0.13.7 | ||
httpx==0.19.0 | ||
hyperframe==6.0.1 | ||
idna==3.3 | ||
importlib-metadata==4.11.3 | ||
ipykernel==6.9.2 | ||
ipython==8.1.1 | ||
ipython-genutils==0.2.0 | ||
ipywidgets==7.7.0 | ||
jedi==0.18.1 | ||
Jinja2==3.1.0 | ||
joblib==1.1.0 | ||
json5==0.9.6 | ||
jsonpickle==2.1.0 | ||
jsonschema==4.4.0 | ||
jupyter-client==7.1.2 | ||
jupyter-core==4.9.2 | ||
jupyter-server==1.15.6 | ||
jupyterlab==3.3.2 | ||
jupyterlab-pygments==0.1.2 | ||
jupyterlab-server==2.11.2 | ||
jupyterlab-widgets==1.1.0 | ||
keras-nightly==2.5.0.dev2021032900 | ||
Keras-Preprocessing==1.1.2 | ||
kiwisolver==1.4.0 | ||
librosa==0.8.0 | ||
llvmlite==0.36.0 | ||
Markdown==3.3.6 | ||
MarkupSafe==2.1.1 | ||
matplotlib==3.3.4 | ||
matplotlib-inline==0.1.3 | ||
mistune==0.8.4 | ||
more-itertools==8.12.0 | ||
music21==7.1.0 | ||
nbclassic==0.3.7 | ||
nbclient==0.5.13 | ||
nbconvert==6.4.4 | ||
nbformat==5.2.0 | ||
nest-asyncio==1.5.4 | ||
idna==3.4 | ||
importlib-metadata==6.0.0 | ||
joblib==1.2.0 | ||
keras==2.11.0 | ||
libclang==15.0.6.1 | ||
librosa==0.8.1 | ||
llvmlite==0.38.1 | ||
Markdown==3.4.1 | ||
MarkupSafe==2.1.2 | ||
norbert==0.2.1 | ||
notebook==6.4.10 | ||
notebook-shim==0.1.0 | ||
numba==0.53.1 | ||
numpy==1.19.5 | ||
oauthlib==3.2.0 | ||
numba==0.55.2 | ||
numpy==1.22.4 | ||
oauthlib==3.2.2 | ||
opt-einsum==3.3.0 | ||
packaging==21.3 | ||
pandas==1.4.1 | ||
pandocfilters==1.5.0 | ||
parso==0.8.3 | ||
pexpect==4.8.0 | ||
pickleshare==0.7.5 | ||
Pillow==9.0.1 | ||
packaging==23.0 | ||
pandas==1.5.3 | ||
pooch==1.6.0 | ||
prometheus-client==0.13.1 | ||
prompt-toolkit==3.0.28 | ||
protobuf==3.19.4 | ||
psutil==5.9.0 | ||
ptyprocess==0.7.0 | ||
pure-eval==0.2.2 | ||
protobuf==3.19.6 | ||
pyasn1==0.4.8 | ||
pyasn1-modules==0.2.8 | ||
pycparser==2.21 | ||
Pygments==2.11.2 | ||
pyparsing==3.0.7 | ||
pyrsistent==0.18.1 | ||
python-dateutil==2.8.2 | ||
pytz==2022.1 | ||
pyzmq==22.3.0 | ||
requests==2.27.1 | ||
pytz==2022.7.1 | ||
requests==2.28.2 | ||
requests-oauthlib==1.3.1 | ||
resampy==0.2.2 | ||
resampy==0.4.2 | ||
rfc3986==1.5.0 | ||
rsa==4.8 | ||
scikit-learn==1.0.2 | ||
scipy==1.8.0 | ||
Send2Trash==1.8.0 | ||
six==1.15.0 | ||
sniffio==1.2.0 | ||
SoundFile==0.10.3.post1 | ||
soupsieve==2.3.1 | ||
sox==1.4.1 | ||
spleeter==2.3.0 | ||
stack-data==0.2.0 | ||
tensorboard==2.8.0 | ||
rsa==4.9 | ||
scikit-learn==1.2.1 | ||
scipy==1.10.0 | ||
six==1.16.0 | ||
sniffio==1.3.0 | ||
soundfile==0.11.0 | ||
spleeter==2.3.2 | ||
tensorboard==2.11.2 | ||
tensorboard-data-server==0.6.1 | ||
tensorboard-plugin-wit==1.8.1 | ||
tensorflow==2.5.0 | ||
tensorflow-estimator==2.5.0 | ||
termcolor==1.1.0 | ||
terminado==0.13.3 | ||
testpath==0.6.0 | ||
tensorflow==2.11.0 | ||
tensorflow-estimator==2.11.0 | ||
tensorflow-io-gcs-filesystem==0.30.0 | ||
termcolor==2.2.0 | ||
threadpoolctl==3.1.0 | ||
tornado==6.1 | ||
tqdm==4.63.1 | ||
traitlets==5.1.1 | ||
tqdm==4.64.1 | ||
typer==0.3.2 | ||
typing-extensions==3.7.4.3 | ||
urllib3==1.26.9 | ||
wcwidth==0.2.5 | ||
webcolors==1.11.1 | ||
webencodings==0.5.1 | ||
websocket-client==1.3.1 | ||
Werkzeug==2.0.3 | ||
widgetsnbextension==3.6.0 | ||
wrapt==1.12.1 | ||
zipp==3.7.0 | ||
typing_extensions==4.4.0 | ||
urllib3==1.26.14 | ||
Werkzeug==2.2.2 | ||
wrapt==1.14.1 | ||
zipp==3.13.0 |