🔊
音声生成モデルのCosyVoiceを使ってみる
多言語の音声合成モデルCosyVoice2
アリババグループが開発している多言語の大規模音声合成モデルCosyVoice 2を試してみました。
ゼロショットインコンテキスト生成、クロスランゲージインコンテキスト生成、感情豊かな音声生成など、多様な音声生成シナリオに対応しているとのこと。
次の特徴があります。
-
超低遅延
CosyVoice 2はオフラインとストリーミングの両方のモデリングを統合し、双方向のストリーミング音声合成をサポートします。初期のパケット合成レイテンシは150msの低遅延で、品質低下も最小限に抑えられるとのことです。 -
高精度
バージョン1.0と比べて発音エラーを30-50%削減し、Seed-TTS評価セットのハードテストセットで最も低い文字エラー率を達成しています。 -
安定性
ゼロショット音声生成やクロスランゲージ音声合成において、一貫性のある優れた声質を得ることができます。バージョン1.0と比較してクロスランゲージ合成が大幅に改善されています。 -
自然な音声
CosyVoice 2では韻律、音質、感情の整合性が大幅に向上しました。MOS評価スコアは5.4から5.53に上昇し、商用レベルの大規模音声合成モデルと同等のスコアを達成しています。また、より細かい感情制御や方言アクセント調整をサポートするために、制御可能な音声合成機能がアップグレードされています。
手元のmacで実行してみます
準備
1. リポジトリをクローンする
git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git && cd "$(basename "$_" .git)"
ysic@m4macmini ~ % git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git && cd "$(basename "$_" .git)"
Cloning into 'CosyVoice'...
remote: Enumerating objects: 1801, done.
remote: Counting objects: 100% (1001/1001), done.
remote: Compressing objects: 100% (377/377), done.
remote: Total 1801 (delta 831), reused 627 (delta 624), pack-reused 800 (from 2)
Receiving objects: 100% (1801/1801), 1.49 MiB | 14.85 MiB/s, done.
Resolving deltas: 100% (1119/1119), done.
Submodule 'third_party/Matcha-TTS' (https://github.com/shivammehta25/Matcha-TTS.git) registered for path 'third_party/Matcha-TTS'
Cloning into '/Users/ysic/CosyVoice/third_party/Matcha-TTS'...
remote: Enumerating objects: 1068, done.
remote: Counting objects: 100% (480/480), done.
remote: Compressing objects: 100% (171/171), done.
remote: Total 1068 (delta 385), reused 318 (delta 309), pack-reused 588 (from 2)
Receiving objects: 100% (1068/1068), 64.11 MiB | 22.33 MiB/s, done.
Resolving deltas: 100% (517/517), done.
Submodule path 'third_party/Matcha-TTS': checked out 'dd9105b34bf2be2230f4aa1e4769fb586a3c824e'
2. Minicondaをインストール
brew install --cask miniconda
ysic@m4macmini CosyVoice % brew install --cask miniconda
==> Downloading https://formulae.brew.sh/api/cask.jws.json
==> Caveats
Please run the following to setup your shell:
conda init "$(basename "${SHELL}")"
Alternatively, manually add the following to your shell init:
eval "$(conda "shell.$(basename "${SHELL}")" hook)"
==> Downloading https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-MacOSX-arm64.sh
Already downloaded: /Users/ysic/Library/Caches/Homebrew/downloads/855aebb3ebaf629877f030f6fd69b50da4d9a930f0a07c0ec81f47c292298d18--Miniconda3-py312_24.11.1-0-MacOSX-arm64.sh
==> Installing Cask miniconda
==> Running installer script 'Miniconda3-py312_24.11.1-0-MacOSX-arm64.sh'
PREFIX=/opt/homebrew/Caskroom/miniconda/base
Unpacking payload ...
Installing base environment...
Preparing transaction: ...working... done
Executing transaction: ...working...
done
installation finished.
==> Linking Binary 'conda' to '/opt/homebrew/bin/conda'
🍺 miniconda was successfully installed!
3. condaをシェルで有効化します
eval "$(conda "shell.$(basename "${SHELL}")" hook)"
4. condaで仮想環境を作成します
conda create -n cosyvoice -y python=3.10
(base) ysic@m4macmini CosyVoice % conda create -n cosyvoice -y python=3.10
Channels:
- defaults
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice
added / updated specs:
- python=3.10
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2024.12.31 | hca03da5_0 129 KB
pip-25.0 | py310hca03da5_0 2.3 MB
python-3.10.16 | hb885b13_1 12.0 MB
setuptools-75.8.0 | py310hca03da5_0 1.6 MB
tzdata-2025a | h04d1e81_0 117 KB
wheel-0.45.1 | py310hca03da5_0 116 KB
------------------------------------------------------------
Total: 16.3 MB
The following NEW packages will be INSTALLED:
bzip2 pkgs/main/osx-arm64::bzip2-1.0.8-h80987f9_6
ca-certificates pkgs/main/osx-arm64::ca-certificates-2024.12.31-hca03da5_0
libffi pkgs/main/osx-arm64::libffi-3.4.4-hca03da5_1
ncurses pkgs/main/osx-arm64::ncurses-6.4-h313beb8_0
openssl pkgs/main/osx-arm64::openssl-3.0.15-h80987f9_0
pip pkgs/main/osx-arm64::pip-25.0-py310hca03da5_0
python pkgs/main/osx-arm64::python-3.10.16-hb885b13_1
readline pkgs/main/osx-arm64::readline-8.2-h1a28f6b_0
setuptools pkgs/main/osx-arm64::setuptools-75.8.0-py310hca03da5_0
sqlite pkgs/main/osx-arm64::sqlite-3.45.3-h80987f9_0
tk pkgs/main/osx-arm64::tk-8.6.14-h6ba3021_0
tzdata pkgs/main/noarch::tzdata-2025a-h04d1e81_0
wheel pkgs/main/osx-arm64::wheel-0.45.1-py310hca03da5_0
xz pkgs/main/osx-arm64::xz-5.4.6-h80987f9_1
zlib pkgs/main/osx-arm64::zlib-1.2.13-h18a0788_1
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate cosyvoice
#
# To deactivate an active environment, use
#
# $ conda deactivate
5. 仮想環境に入ります
conda activate cosyvoice
6. conda-forgeからpyniniをインストールします
conda install -y -c conda-forge pynini==2.1.5
(cosyvoice) ysic@m4macmini CosyVoice % conda install -y -c conda-forge pynini==2.1.5
Channels:
- conda-forge
- defaults
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice
added / updated specs:
- pynini==2.1.5
The following packages will be downloaded:
package | build
---------------------------|-----------------
atk-1.0-2.38.0 | hd03087b_2 339 KB conda-forge
cairo-1.18.2 | h6a3b0d2_1 874 KB conda-forge
font-ttf-dejavu-sans-mono-2.37| hab24e00_0 388 KB conda-forge
font-ttf-inconsolata-3.000 | h77eed37_0 94 KB conda-forge
font-ttf-source-code-pro-2.038| h77eed37_0 684 KB conda-forge
font-ttf-ubuntu-0.83 | h77eed37_3 1.5 MB conda-forge
fontconfig-2.15.0 | h1383a14_1 229 KB conda-forge
fonts-conda-ecosystem-1 | 0 4 KB conda-forge
fonts-conda-forge-1 | 0 4 KB conda-forge
freetype-2.12.1 | hadb7bae_2 582 KB conda-forge
fribidi-1.0.10 | h27ca646_0 59 KB conda-forge
gdk-pixbuf-2.42.12 | h7ddc832_0 498 KB conda-forge
graphite2-1.3.13 | hebf3989_1003 78 KB conda-forge
graphviz-12.0.0 | hbf8cc41_0 4.8 MB conda-forge
gtk2-2.24.33 | hc5c4cae_7 5.9 MB conda-forge
gts-0.7.6 | he42f4ea_4 297 KB conda-forge
harfbuzz-10.2.0 | ha0dd535_0 1.4 MB conda-forge
icu-75.1 | hfee45f7_0 11.3 MB conda-forge
lerc-4.0.0 | h9a09cb3_0 211 KB conda-forge
libcxx-19.1.7 | ha82da77_0 511 KB conda-forge
libdeflate-1.22 | hd74edd7_0 53 KB conda-forge
libexpat-2.6.4 | h286801f_0 63 KB conda-forge
libgd-2.3.3 | hb2c3a21_11 153 KB conda-forge
libglib-2.82.2 | hdff4504_1 3.5 MB conda-forge
libiconv-1.17 | h0d3ecfb_2 661 KB conda-forge
libintl-0.22.5 | h8414b35_3 79 KB conda-forge
libjpeg-turbo-3.0.0 | hb547adb_1 535 KB conda-forge
libpng-1.6.46 | h3783ad8_0 260 KB conda-forge
librsvg-2.58.4 | h266df6f_2 4.5 MB conda-forge
libsqlite-3.45.2 | h091b4b1_0 806 KB conda-forge
libtiff-4.7.0 | hfce79cd_1 358 KB conda-forge
libwebp-base-1.5.0 | h2471fea_0 283 KB conda-forge
libxml2-2.13.5 | hbbdcc80_0 569 KB conda-forge
libzlib-1.3.1 | h8359307_2 45 KB conda-forge
openfst-1.8.2 | hdb0ca01_2 6.1 MB conda-forge
openssl-3.4.0 | h81ee809_1 2.8 MB conda-forge
pango-1.56.1 | h73f1e88_0 414 KB conda-forge
pcre2-10.44 | h297a79d_2 604 KB conda-forge
pixman-0.44.2 | h2f9eb0b_0 196 KB conda-forge
pynini-2.1.5 | py310h38f39d4_6 1.1 MB conda-forge
python-3.10.13 |h2469fbe_1_cpython 11.1 MB conda-forge
python_abi-3.10 | 5_cp310 6 KB conda-forge
sqlite-3.45.2 | hf2abe2d_0 793 KB conda-forge
tk-8.6.13 | h5083fa2_1 3.0 MB conda-forge
zlib-1.3.1 | h8359307_2 76 KB conda-forge
zstd-1.5.6 | hb46c0d2_0 396 KB conda-forge
------------------------------------------------------------
Total: 68.0 MB
The following NEW packages will be INSTALLED:
atk-1.0 conda-forge/osx-arm64::atk-1.0-2.38.0-hd03087b_2
cairo conda-forge/osx-arm64::cairo-1.18.2-h6a3b0d2_1
font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0
font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0
font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0
font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-h77eed37_3
fontconfig conda-forge/osx-arm64::fontconfig-2.15.0-h1383a14_1
fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0
fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-0
freetype conda-forge/osx-arm64::freetype-2.12.1-hadb7bae_2
fribidi conda-forge/osx-arm64::fribidi-1.0.10-h27ca646_0
gdk-pixbuf conda-forge/osx-arm64::gdk-pixbuf-2.42.12-h7ddc832_0
graphite2 conda-forge/osx-arm64::graphite2-1.3.13-hebf3989_1003
graphviz conda-forge/osx-arm64::graphviz-12.0.0-hbf8cc41_0
gtk2 conda-forge/osx-arm64::gtk2-2.24.33-hc5c4cae_7
gts conda-forge/osx-arm64::gts-0.7.6-he42f4ea_4
harfbuzz conda-forge/osx-arm64::harfbuzz-10.2.0-ha0dd535_0
icu conda-forge/osx-arm64::icu-75.1-hfee45f7_0
lerc conda-forge/osx-arm64::lerc-4.0.0-h9a09cb3_0
libcxx conda-forge/osx-arm64::libcxx-19.1.7-ha82da77_0
libdeflate conda-forge/osx-arm64::libdeflate-1.22-hd74edd7_0
libexpat conda-forge/osx-arm64::libexpat-2.6.4-h286801f_0
libgd conda-forge/osx-arm64::libgd-2.3.3-hb2c3a21_11
libglib conda-forge/osx-arm64::libglib-2.82.2-hdff4504_1
libiconv conda-forge/osx-arm64::libiconv-1.17-h0d3ecfb_2
libintl conda-forge/osx-arm64::libintl-0.22.5-h8414b35_3
libjpeg-turbo conda-forge/osx-arm64::libjpeg-turbo-3.0.0-hb547adb_1
libpng conda-forge/osx-arm64::libpng-1.6.46-h3783ad8_0
librsvg conda-forge/osx-arm64::librsvg-2.58.4-h266df6f_2
libsqlite conda-forge/osx-arm64::libsqlite-3.45.2-h091b4b1_0
libtiff conda-forge/osx-arm64::libtiff-4.7.0-hfce79cd_1
libwebp-base conda-forge/osx-arm64::libwebp-base-1.5.0-h2471fea_0
libxml2 conda-forge/osx-arm64::libxml2-2.13.5-hbbdcc80_0
libzlib conda-forge/osx-arm64::libzlib-1.3.1-h8359307_2
openfst conda-forge/osx-arm64::openfst-1.8.2-hdb0ca01_2
pango conda-forge/osx-arm64::pango-1.56.1-h73f1e88_0
pcre2 conda-forge/osx-arm64::pcre2-10.44-h297a79d_2
pixman conda-forge/osx-arm64::pixman-0.44.2-h2f9eb0b_0
pynini conda-forge/osx-arm64::pynini-2.1.5-py310h38f39d4_6
python_abi conda-forge/osx-arm64::python_abi-3.10-5_cp310
zstd conda-forge/osx-arm64::zstd-1.5.6-hb46c0d2_0
The following packages will be UPDATED:
openssl pkgs/main::openssl-3.0.15-h80987f9_0 --> conda-forge::openssl-3.4.0-h81ee809_1
zlib pkgs/main::zlib-1.2.13-h18a0788_1 --> conda-forge::zlib-1.3.1-h8359307_2
The following packages will be SUPERSEDED by a higher-priority channel:
python pkgs/main::python-3.10.16-hb885b13_1 --> conda-forge::python-3.10.13-h2469fbe_1_cpython
sqlite pkgs/main::sqlite-3.45.3-h80987f9_0 --> conda-forge::sqlite-3.45.2-hf2abe2d_0
tk pkgs/main::tk-8.6.14-h6ba3021_0 --> conda-forge::tk-8.6.13-h5083fa2_1
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: |
/
done
7. pip install -r requirements.txt
(cosyvoice) ysic@m4macmini CosyVoice % pip install -r requirements.txt
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121, https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
Ignoring deepspeed: markers 'sys_platform == "linux"' don't match your environment
Ignoring onnxruntime-gpu: markers 'sys_platform == "linux"' don't match your environment
Ignoring tensorrt-cu12: markers 'sys_platform == "linux"' don't match your environment
Ignoring tensorrt-cu12-bindings: markers 'sys_platform == "linux"' don't match your environment
Ignoring tensorrt-cu12-libs: markers 'sys_platform == "linux"' don't match your environment
Collecting conformer==0.3.2 (from -r requirements.txt (line 3))
Using cached conformer-0.3.2-py3-none-any.whl.metadata (631 bytes)
Collecting diffusers==0.29.0 (from -r requirements.txt (line 5))
Using cached diffusers-0.29.0-py3-none-any.whl.metadata (19 kB)
Collecting gdown==5.1.0 (from -r requirements.txt (line 6))
Using cached gdown-5.1.0-py3-none-any.whl.metadata (5.7 kB)
Collecting gradio==5.4.0 (from -r requirements.txt (line 7))
Using cached gradio-5.4.0-py3-none-any.whl.metadata (16 kB)
Collecting grpcio==1.57.0 (from -r requirements.txt (line 8))
Using cached grpcio-1.57.0-cp310-cp310-macosx_12_0_universal2.whl.metadata (4.0 kB)
Collecting grpcio-tools==1.57.0 (from -r requirements.txt (line 9))
Using cached grpcio_tools-1.57.0-cp310-cp310-macosx_12_0_universal2.whl.metadata (6.2 kB)
Collecting hydra-core==1.3.2 (from -r requirements.txt (line 10))
Using cached hydra_core-1.3.2-py3-none-any.whl.metadata (5.5 kB)
Collecting HyperPyYAML==1.2.2 (from -r requirements.txt (line 11))
Using cached HyperPyYAML-1.2.2-py3-none-any.whl.metadata (7.6 kB)
Collecting inflect==7.3.1 (from -r requirements.txt (line 12))
Using cached inflect-7.3.1-py3-none-any.whl.metadata (21 kB)
Collecting librosa==0.10.2 (from -r requirements.txt (line 13))
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Collecting lightning==2.2.4 (from -r requirements.txt (line 14))
Using cached lightning-2.2.4-py3-none-any.whl.metadata (53 kB)
Collecting matplotlib==3.7.5 (from -r requirements.txt (line 15))
Using cached matplotlib-3.7.5-cp310-cp310-macosx_11_0_arm64.whl.metadata (5.7 kB)
Collecting modelscope==1.15.0 (from -r requirements.txt (line 16))
Using cached modelscope-1.15.0-py3-none-any.whl.metadata (33 kB)
Collecting networkx==3.1 (from -r requirements.txt (line 17))
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Collecting omegaconf==2.3.0 (from -r requirements.txt (line 18))
Using cached omegaconf-2.3.0-py3-none-any.whl.metadata (3.9 kB)
Collecting onnx==1.16.0 (from -r requirements.txt (line 19))
Using cached onnx-1.16.0-cp310-cp310-macosx_10_15_universal2.whl.metadata (16 kB)
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Using cached onnxruntime-1.18.0-cp310-cp310-macosx_11_0_universal2.whl.metadata (4.2 kB)
Collecting openai-whisper==20231117 (from -r requirements.txt (line 22))
Using cached openai_whisper-20231117-py3-none-any.whl
Collecting protobuf==4.25 (from -r requirements.txt (line 23))
Using cached protobuf-4.25.0-cp37-abi3-macosx_10_9_universal2.whl.metadata (541 bytes)
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Collecting pyworld==0.3.4 (from -r requirements.txt (line 25))
Using cached pyworld-0.3.4-cp310-cp310-macosx_11_0_arm64.whl
Collecting rich==13.7.1 (from -r requirements.txt (line 26))
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Collecting soundfile==0.12.1 (from -r requirements.txt (line 27))
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Using cached yarl-1.18.3-cp310-cp310-macosx_11_0_arm64.whl (92 kB)
Installing collected packages: wget, sortedcontainers, pytz, pydub, mpmath, flatbuffers, crcmod, antlr4-python3-runtime, addict, zipp, xxhash, websockets, urllib3, tzdata, typing-extensions, tqdm, tomlkit, tomli, threadpoolctl, tensorboard-data-server, sympy, soupsieve, sniffio, six, simplejson, shellingham, semantic-version, safetensors, ruff, ruamel.yaml.clib, regex, pyyaml, python-multipart, PySocks, pyparsing, pygments, pycryptodome, pycparser, pyasn1, pyarrow-hotfix, pyarrow, protobuf, propcache, platformdirs, Pillow, packaging, orjson, oauthlib, numpy, networkx, msgpack, more-itertools, mdurl, markupsafe, markdown, llvmlite, kiwisolver, joblib, jmespath, importlib-resources, idna, humanfriendly, h11, grpcio, gast, fsspec, frozenlist, fonttools, filelock, ffmpy, exceptiongroup, einops, dill, decorator, cython, cycler, click, charset-normalizer, certifi, cachetools, audioread, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, yapf, werkzeug, uvicorn, typeguard, soxr, scipy, ruamel.yaml, rsa, requests, pyworld, python-dateutil, pydantic-core, pyasn1-modules, onnx, omegaconf, numba, multiprocess, multidict, markdown-it-py, lightning-utilities, lazy-loader, jinja2, importlib-metadata, httpcore, grpcio-tools, contourpy, coloredlogs, cffi, beautifulsoup4, anyio, aiosignal, yarl, WeTextProcessing, torch, tiktoken, starlette, soundfile, scikit-learn, rich, requests-oauthlib, pydantic, pooch, pandas, onnxruntime, matplotlib, inflect, HyperPyYAML, hydra-core, huggingface-hub, httpx, google-auth, cryptography, typer, torchmetrics, torchaudio, tokenizers, safehttpx, openai-whisper, librosa, gradio-client, google-auth-oauthlib, gdown, fastapi, diffusers, conformer, aliyun-python-sdk-core, aiohttp, transformers, tensorboard, gradio, fastapi-cli, aliyun-python-sdk-kms, pytorch-lightning, oss2, datasets, modelscope, lightning
Successfully installed HyperPyYAML-1.2.2 Pillow-11.1.0 PySocks-1.7.1 WeTextProcessing-1.0.3 absl-py-2.1.0 addict-2.4.0 aiofiles-23.2.1 aiohappyeyeballs-2.4.4 aiohttp-3.11.11 aiosignal-1.3.2 aliyun-python-sdk-core-2.16.0 aliyun-python-sdk-kms-2.16.5 annotated-types-0.7.0 antlr4-python3-runtime-4.9.3 anyio-4.8.0 async-timeout-5.0.1 attrs-25.1.0 audioread-3.0.1 beautifulsoup4-4.12.3 cachetools-5.5.1 certifi-2024.12.14 cffi-1.17.1 charset-normalizer-3.4.1 click-8.1.8 coloredlogs-15.0.1 conformer-0.3.2 contourpy-1.3.1 crcmod-1.7 cryptography-44.0.0 cycler-0.12.1 cython-3.0.11 datasets-2.18.0 decorator-5.1.1 diffusers-0.29.0 dill-0.3.8 einops-0.8.0 exceptiongroup-1.2.2 fastapi-0.115.6 fastapi-cli-0.0.4 ffmpy-0.5.0 filelock-3.17.0 flatbuffers-25.1.24 fonttools-4.55.8 frozenlist-1.5.0 fsspec-2024.2.0 gast-0.6.0 gdown-5.1.0 google-auth-2.38.0 google-auth-oauthlib-1.0.0 gradio-5.4.0 gradio-client-1.4.2 grpcio-1.57.0 grpcio-tools-1.57.0 h11-0.14.0 httpcore-1.0.7 httpx-0.28.1 huggingface-hub-0.28.0 humanfriendly-10.0 hydra-core-1.3.2 idna-3.10 importlib-metadata-8.6.1 importlib-resources-6.5.2 inflect-7.3.1 jinja2-3.1.5 jmespath-0.10.0 joblib-1.4.2 kiwisolver-1.4.8 lazy-loader-0.4 librosa-0.10.2 lightning-2.2.4 lightning-utilities-0.11.9 llvmlite-0.44.0 markdown-3.7 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.7.5 mdurl-0.1.2 modelscope-1.15.0 more-itertools-10.6.0 mpmath-1.3.0 msgpack-1.1.0 multidict-6.1.0 multiprocess-0.70.16 networkx-3.1 numba-0.61.0 numpy-1.26.4 oauthlib-3.2.2 omegaconf-2.3.0 onnx-1.16.0 onnxruntime-1.18.0 openai-whisper-20231117 orjson-3.10.15 oss2-2.19.1 packaging-24.2 pandas-2.2.3 platformdirs-4.3.6 pooch-1.8.2 propcache-0.2.1 protobuf-4.25.0 pyarrow-19.0.0 pyarrow-hotfix-0.6 pyasn1-0.6.1 pyasn1-modules-0.4.1 pycparser-2.22 pycryptodome-3.21.0 pydantic-2.7.0 pydantic-core-2.18.1 pydub-0.25.1 pygments-2.19.1 pyparsing-3.2.1 python-dateutil-2.9.0.post0 python-multipart-0.0.12 pytorch-lightning-2.5.0.post0 pytz-2024.2 pyworld-0.3.4 pyyaml-6.0.2 regex-2024.11.6 requests-2.32.3 requests-oauthlib-2.0.0 rich-13.7.1 rsa-4.9 ruamel.yaml-0.18.10 ruamel.yaml.clib-0.2.12 ruff-0.9.3 safehttpx-0.1.6 safetensors-0.5.2 scikit-learn-1.6.1 scipy-1.15.1 semantic-version-2.10.0 shellingham-1.5.4 simplejson-3.19.3 six-1.17.0 sniffio-1.3.1 sortedcontainers-2.4.0 soundfile-0.12.1 soupsieve-2.6 soxr-0.5.0.post1 starlette-0.41.3 sympy-1.13.3 tensorboard-2.14.0 tensorboard-data-server-0.7.2 threadpoolctl-3.5.0 tiktoken-0.8.0 tokenizers-0.19.1 tomli-2.2.1 tomlkit-0.12.0 torch-2.3.1 torchaudio-2.3.1 torchmetrics-1.6.1 tqdm-4.67.1 transformers-4.40.1 typeguard-4.4.1 typer-0.15.1 typing-extensions-4.12.2 tzdata-2025.1 urllib3-2.3.0 uvicorn-0.30.0 websockets-12.0 werkzeug-3.1.3 wget-3.2 xxhash-3.5.0 yapf-0.43.0 yarl-1.18.3 zipp-3.21.0
8. モデルをダウンロードする
ここではGit LFSを使います(未インストールの場合はbrew install git-lfs && git lfs installしてください)
(cosyvoice) ysic@m4macmini CosyVoice % mkdir -p pretrained_models
(cosyvoice) ysic@m4macmini CosyVoice % git clone https://www.modelscope.cn/iic/CosyVoice2-0.5B.git pretrained_models/CosyVoice2-0.5B
Cloning into 'pretrained_models/CosyVoice2-0.5B'...
remote: Enumerating objects: 77, done.
remote: Counting objects: 100% (77/77), done.
remote: Compressing objects: 100% (61/61), done.
remote: Total 77 (delta 26), reused 51 (delta 13), pack-reused 0
Receiving objects: 100% (77/77), 1.72 MiB | 4.33 MiB/s, done.
Resolving deltas: 100% (26/26), done.
Filtering content: 100% (12/12), 4.80 GiB | 73.96 MiB/s, done.
生成してみる
READMEを参考に書いたコードは以下
import sys
sys.path.append("third_party/Matcha-TTS")
from cosyvoice.cli.cosyvoice import CosyVoice2
from cosyvoice.utils.file_utils import load_wav
import torchaudio
cosyvoice = CosyVoice2(
"pretrained_models/CosyVoice2-0.5B", load_jit=False, load_trt=False, fp16=False
)
prompt_speech_16k = load_wav(
"./asset/ITAcorpus_amitaro_yofukashi_1.1/44.1k/emo/EMOTION100_058.wav", 16000
)
def text_generator():
yield "あのイーハトーヴォのすきとおったかぜ、"
yield "夏でも底に冷たさをもつ青いそら、"
yield "うつくしい森でかざられたモリーオ市、"
yield "郊外のぎらぎらひかる草の波。"
for i, j in enumerate(
cosyvoice.inference_zero_shot(
text_generator(),
"すみません、この辺に詳しくないんです。",
prompt_speech_16k,
stream=False,
)
):
torchaudio.save("test.wav".format(i), j["tts_speech"], cosyvoice.sample_rate)
元となる音声はあみたろの声素材工房様よりITAコーパス読み上げ音声をお借りしました。
実行してみると、
(cosyvoice) ysic@m4macmini CosyVoice % python test.py
2025-01-30 16:44:21,566 - modelscope - INFO - PyTorch version 2.3.1 Found.
2025-01-30 16:44:21,566 - modelscope - INFO - Loading ast index from /Users/ysic/.cache/modelscope/ast_indexer
2025-01-30 16:44:21,587 - modelscope - INFO - Loading done! Current index file version is 1.15.0, with md5 a146a4c7ddc066c8ec70acfe431b42ad and a total number of 980 components indexed
failed to import ttsfrd, use WeTextProcessing instead
/opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/diffusers/models/lora.py:393: FutureWarning: `LoRACompatibleLinear` is deprecated and will be removed in version 1.0.0. Use of `LoRACompatibleLinear` is deprecated. Please switch to PEFT backend by installing PEFT: `pip install peft`.
deprecate("LoRACompatibleLinear", "1.0.0", deprecation_message)
2025-01-30 16:44:24,698 INFO input frame rate=25
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
2025-01-30 16:44:25,374 WETEXT INFO building fst for zh_normalizer ...
2025-01-30 16:44:25,374 INFO building fst for zh_normalizer ...
2025-01-30 16:44:32,946 WETEXT INFO done
2025-01-30 16:44:32,946 INFO done
2025-01-30 16:44:32,946 WETEXT INFO fst path: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/zh_tn_tagger.fst
2025-01-30 16:44:32,946 INFO fst path: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/zh_tn_tagger.fst
2025-01-30 16:44:32,946 WETEXT INFO /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/zh_tn_verbalizer.fst
2025-01-30 16:44:32,946 INFO /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/zh_tn_verbalizer.fst
2025-01-30 16:44:32,948 WETEXT INFO found existing fst: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/en_tn_tagger.fst
2025-01-30 16:44:32,948 INFO found existing fst: /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/en_tn_tagger.fst
2025-01-30 16:44:32,948 WETEXT INFO /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/en_tn_verbalizer.fst
2025-01-30 16:44:32,948 INFO /opt/homebrew/Caskroom/miniconda/base/envs/cosyvoice/lib/python3.10/site-packages/tn/en_tn_verbalizer.fst
2025-01-30 16:44:32,948 WETEXT INFO skip building fst for en_normalizer ...
2025-01-30 16:44:32,948 INFO skip building fst for en_normalizer ...
2025-01-30 16:44:33,610 INFO get tts_text generator, will skip text_normalize!
0%| | 0/1 [00:00<?, ?it/s]2025-01-30 16:44:33,753 INFO get tts_text generator, will return _extract_text_token_generator!
2025-01-30 16:44:33,987 INFO synthesis text <generator object text_generator at 0x37e8ebca0>
2025-01-30 16:44:33,988 INFO append 5 text token 15 speech token
2025-01-30 16:44:33,988 INFO append 5 text token 15 speech token
2025-01-30 16:44:33,988 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,988 INFO append 5 text token 15 speech token
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO append 5 text token 15 speech token
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO not enough text token to decode, wait for more
2025-01-30 16:44:33,989 INFO append 5 text token 15 speech token
2025-01-30 16:44:34,171 INFO fill_token index 0 next fill_token index 16
2025-01-30 16:44:34,171 INFO get fill token, need to append more text token
2025-01-30 16:44:34,171 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,171 INFO get fill token, need to append more text token
2025-01-30 16:44:34,171 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,171 INFO get fill token, need to append more text token
2025-01-30 16:44:34,171 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,171 INFO get fill token, need to append more text token
2025-01-30 16:44:34,171 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,171 INFO get fill token, need to append more text token
2025-01-30 16:44:34,171 INFO append 5 text token
2025-01-30 16:44:34,657 INFO fill_token index 16 next fill_token index 32
2025-01-30 16:44:34,657 INFO get fill token, need to append more text token
2025-01-30 16:44:34,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,657 INFO get fill token, need to append more text token
2025-01-30 16:44:34,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,657 INFO get fill token, need to append more text token
2025-01-30 16:44:34,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,657 INFO get fill token, need to append more text token
2025-01-30 16:44:34,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:34,657 INFO get fill token, need to append more text token
2025-01-30 16:44:34,657 INFO append 5 text token
2025-01-30 16:44:35,160 INFO fill_token index 32 next fill_token index 48
2025-01-30 16:44:35,160 INFO get fill token, need to append more text token
2025-01-30 16:44:35,160 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,160 INFO get fill token, need to append more text token
2025-01-30 16:44:35,160 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,160 INFO get fill token, need to append more text token
2025-01-30 16:44:35,161 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,161 INFO get fill token, need to append more text token
2025-01-30 16:44:35,161 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,161 INFO get fill token, need to append more text token
2025-01-30 16:44:35,161 INFO append 5 text token
2025-01-30 16:44:35,661 INFO fill_token index 48 next fill_token index 64
2025-01-30 16:44:35,661 INFO get fill token, need to append more text token
2025-01-30 16:44:35,661 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,661 INFO get fill token, need to append more text token
2025-01-30 16:44:35,661 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,661 INFO get fill token, need to append more text token
2025-01-30 16:44:35,661 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,661 INFO get fill token, need to append more text token
2025-01-30 16:44:35,661 INFO not enough text token to decode, wait for more
2025-01-30 16:44:35,661 INFO get fill token, need to append more text token
2025-01-30 16:44:35,661 INFO append 5 text token
2025-01-30 16:44:36,152 INFO fill_token index 64 next fill_token index 80
2025-01-30 16:44:36,152 INFO get fill token, need to append more text token
2025-01-30 16:44:36,152 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,152 INFO get fill token, need to append more text token
2025-01-30 16:44:36,152 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,152 INFO get fill token, need to append more text token
2025-01-30 16:44:36,152 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,152 INFO get fill token, need to append more text token
2025-01-30 16:44:36,152 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,152 INFO get fill token, need to append more text token
2025-01-30 16:44:36,152 INFO append 5 text token
2025-01-30 16:44:36,657 INFO fill_token index 80 next fill_token index 96
2025-01-30 16:44:36,657 INFO get fill token, need to append more text token
2025-01-30 16:44:36,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,657 INFO get fill token, need to append more text token
2025-01-30 16:44:36,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,657 INFO get fill token, need to append more text token
2025-01-30 16:44:36,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,657 INFO get fill token, need to append more text token
2025-01-30 16:44:36,657 INFO not enough text token to decode, wait for more
2025-01-30 16:44:36,657 INFO get fill token, need to append more text token
2025-01-30 16:44:36,657 INFO append 5 text token
2025-01-30 16:44:37,193 INFO fill_token index 96 next fill_token index 112
2025-01-30 16:44:37,193 INFO get fill token, need to append more text token
2025-01-30 16:44:37,193 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,193 INFO get fill token, need to append more text token
2025-01-30 16:44:37,193 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,193 INFO get fill token, need to append more text token
2025-01-30 16:44:37,193 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,193 INFO get fill token, need to append more text token
2025-01-30 16:44:37,193 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,193 INFO get fill token, need to append more text token
2025-01-30 16:44:37,193 INFO append 5 text token
2025-01-30 16:44:37,722 INFO fill_token index 112 next fill_token index 128
2025-01-30 16:44:37,722 INFO get fill token, need to append more text token
2025-01-30 16:44:37,722 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,722 INFO get fill token, need to append more text token
2025-01-30 16:44:37,722 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,722 INFO get fill token, need to append more text token
2025-01-30 16:44:37,722 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,722 INFO get fill token, need to append more text token
2025-01-30 16:44:37,722 INFO not enough text token to decode, wait for more
2025-01-30 16:44:37,722 INFO get fill token, need to append more text token
2025-01-30 16:44:37,722 INFO append 5 text token
2025-01-30 16:44:38,304 INFO fill_token index 128 next fill_token index 144
2025-01-30 16:44:38,304 INFO get fill token, need to append more text token
2025-01-30 16:44:38,304 INFO not enough text token to decode, wait for more
2025-01-30 16:44:38,304 INFO get fill token, need to append more text token
2025-01-30 16:44:38,304 INFO not enough text token to decode, wait for more
2025-01-30 16:44:38,304 INFO get fill token, need to append more text token
2025-01-30 16:44:38,304 INFO not enough text token to decode, wait for more
2025-01-30 16:44:38,304 INFO get fill token, need to append more text token
2025-01-30 16:44:38,304 INFO not enough text token to decode, wait for more
2025-01-30 16:44:38,304 INFO get fill token, need to append more text token
2025-01-30 16:44:38,304 INFO append 5 text token
2025-01-30 16:44:39,038 INFO fill_token index 144 next fill_token index 160
2025-01-30 16:44:39,039 INFO get fill token, need to append more text token
2025-01-30 16:44:39,039 INFO not enough text token to decode, wait for more
2025-01-30 16:44:39,039 INFO get fill token, need to append more text token
2025-01-30 16:44:39,039 INFO not enough text token to decode, wait for more
2025-01-30 16:44:39,039 INFO no more text token, decode until met eos
2025-01-30 16:44:51,109 INFO yield speech len 10.96, rtf 1.5622105911700395
100%|██████████████████████████████████████████████| 1/1 [00:17<00:00, 17.36s/it]
生成された音声ファイルはこちら
まとめ
今回は試せなかったのですが、複数言語が入り混じったものや感情を込めた音声を生成できるみたいです。
公式のデモではこんなこともできるの！？と驚くものもあれば、まだまだ発展途上なところもあってこれからが楽しみですね。
次回はAlibaba Cloud上で提供されているIntelligent Speech Interactionを試してみようと思います。
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