Add Debian package build script
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a303c368b8
commit
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8 changed files with 139 additions and 4 deletions
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@ -63,6 +63,8 @@ RUN .venv/bin/pyinstaller \
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--collect-data "gruut_lang_de" \
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--collect-data "gruut_lang_de" \
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--hidden-import "gruut_lang_en" \
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--hidden-import "gruut_lang_en" \
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--collect-data "gruut_lang_en" \
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--collect-data "gruut_lang_en" \
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--hidden-import "gruut_lang_es" \
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--collect-data "gruut_lang_es" \
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--hidden-import "gruut_lang_fr" \
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--hidden-import "gruut_lang_fr" \
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--collect-data "gruut_lang_fr" \
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--collect-data "gruut_lang_fr" \
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--hidden-import "gruut_lang_it" \
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--hidden-import "gruut_lang_it" \
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@ -76,10 +78,20 @@ RUN .venv/bin/pyinstaller \
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--collect-data 'espeak_phonemizer' \
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--collect-data 'espeak_phonemizer' \
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--collect-data 'phonemes2ids' \
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--collect-data 'phonemes2ids' \
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--hidden-import 'swagger_ui' \
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--hidden-import 'swagger_ui' \
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--hidden-import 'epitran' \
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--hidden-import 'epitran' \
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--collect-data 'panphon' \
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--collect-data 'panphon' \
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--collect-data 'mimic3_tts' \
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--collect-data 'mimic3_tts' \
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--collect-data 'mimic3_http' \
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--collect-data 'mimic3_http' \
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pyinstaller/mimic3.py
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pyinstaller/mimic3.py
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# Clean up unused lexicons
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RUN find dist/mimic3/ -wholename '*/gruut_lang_*/espeak' -type d | \
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while read -r espeak_dir; do \
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rm -rf "${espeak_dir}"; \
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done
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COPY pyinstaller/mimic3-server dist/mimic3/
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COPY pyinstaller/mimic3-server dist/mimic3/
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# -----------------------------------------------------------------------------
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# -----------------------------------------------------------------------------
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6
Makefile
6
Makefile
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@ -16,7 +16,7 @@
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.PHONY: dist install docker binaries
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.PHONY: dist install docker binaries
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SHELL := bash
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SHELL := bash
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DOCKER_PLATFORM ?= linux/amd64
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DOCKER_PLATFORM ?= linux/amd64 # linux/arm64 linux/arm/v7
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dist:
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dist:
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cd opentts-abc && python3 setup.py sdist
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cd opentts-abc && python3 setup.py sdist
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@ -34,7 +34,9 @@ docker:
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docker buildx build . -f Dockerfile --platform $(DOCKER_PLATFORM) --tag mycroftai/mimic3 --load
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docker buildx build . -f Dockerfile --platform $(DOCKER_PLATFORM) --tag mycroftai/mimic3 --load
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docker-gpu:
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docker-gpu:
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docker buildx build . -f Dockerfile.gpu --tag mycroftai/mimic3:gpu --load
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docker buildx build . -f Dockerfile.gpu --tag 'mycroftai/mimic3:gpu' --load
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binaries:
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binaries:
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docker buildx build . -f Dockerfile.binary --platform $(DOCKER_PLATFORM) --output type=local,dest=dist/$(DOCKER_PLATFORM)
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docker buildx build . -f Dockerfile.binary --platform $(DOCKER_PLATFORM) --output type=local,dest=dist/$(DOCKER_PLATFORM)
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debian:
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@ -5,7 +5,7 @@
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A fast and local neural text to speech system for [Mycroft](https://mycroft.ai/) and the [Mark II](https://mycroft.ai/product/mark-ii/).
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A fast and local neural text to speech system for [Mycroft](https://mycroft.ai/) and the [Mark II](https://mycroft.ai/product/mark-ii/).
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* [Available voices](https://github.com/MycroftAI/mimic3-voices)
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* [Available voices](https://github.com/MycroftAI/mimic3-voices)
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* [How does it work?](mimic3-tts/)
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* [How does it work?](mimic3-tts/#architecture)
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## Use Cases
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## Use Cases
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17
debian/bin/mimic3
vendored
Executable file
17
debian/bin/mimic3
vendored
Executable file
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@ -0,0 +1,17 @@
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#!/usr/bin/env sh
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# Copyright 2022 Mycroft AI Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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/usr/lib/mimic3-tts/mimic3 "$@"
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17
debian/bin/mimic3-server
vendored
Executable file
17
debian/bin/mimic3-server
vendored
Executable file
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@ -0,0 +1,17 @@
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#!/usr/bin/env sh
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# Copyright 2022 Mycroft AI Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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/usr/lib/mimic3-tts/mimic3-server "$@"
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78
debian/build-debian.sh
vendored
Executable file
78
debian/build-debian.sh
vendored
Executable file
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@ -0,0 +1,78 @@
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#!/usr/bin/env bash
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# Copyright 2022 Mycroft AI Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# -----------------------------------------------------------------------------
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# Script for building Debian packages from PyInstaller binaries.
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#
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# Before running this script, you must build PyInstaller binaries with "make
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# binaries" or by manually invoking Dockerfile.binary.
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# -----------------------------------------------------------------------------
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set -euo pipefail
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# Directory of *this* script
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this_dir="$( cd "$( dirname "$0" )" && pwd )"
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src_dir="$(realpath "${this_dir}/..")"
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dist_dir="${src_dir}/dist/linux"
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version="$(cat "${src_dir}/mimic3-tts/mimic3_tts/VERSION")"
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for platform in 'amd64' 'arm64' 'arm/v7'; do
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platform_dir="${dist_dir}/${platform}"
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if [ -d "${platform_dir}" ]; then
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# Create temporary directory for building
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temp_dir="$(mktemp -d)"
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function cleanup {
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rm -rf "${temp_dir}";
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}
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trap cleanup EXIT
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package_dir="${temp_dir}/mimic3-tts"
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mkdir -p "${package_dir}"
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# Fix Debian arch name
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case "${platform}" in
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arm/v7)
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debian_arch='armhf'
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;;
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*)
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debian_arch="${platform}"
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;;
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esac
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# Create control file
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mkdir -p "${package_dir}/DEBIAN"
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VERSION="${version}" DEBIAN_ARCH="${debian_arch}" \
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envsubst \
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< "${src_dir}/debian/control.in" \
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> "${package_dir}/DEBIAN/control"
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# Copy artifacts
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mkdir -p "${package_dir}/usr/lib/mimic3-tts"
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rsync -av "${platform_dir}/mimic3/" "${package_dir}/usr/lib/mimic3-tts/"
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# Copy scripts
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mkdir -p "${package_dir}/usr/bin/"
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rsync -av "${this_dir}/bin/" "${package_dir}/usr/bin/"
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# Build Debian package
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pushd "${temp_dir}" 2>/dev/null
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dpkg --build 'mimic3-tts'
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dpkg-name ./*.deb
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cp ./*.deb "${src_dir}/dist/"
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popd 2>/dev/null
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fi
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done
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9
debian/control.in
vendored
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9
debian/control.in
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@ -0,0 +1,9 @@
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Package: mimic3-tts
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Version: ${VERSION}
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Section: utils
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Priority: optional
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Depends: libespeak-ng1
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Recommends: sox
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Architecture: ${DEBIAN_ARCH}
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Maintainer: Mycroft AI
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Description: A fast, local, neural text to speech system for Mycroft
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@ -292,7 +292,7 @@ Our implementation is heavily based on [Jaehyeon Kim's PyTorch model](https://gi
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At a high level, Mimic 3 performs two important tasks:
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At a high level, Mimic 3 performs two important tasks:
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1. Converting raw text input numeric input for the VITS TTS model, and
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1. Converting raw text to numeric input for the VITS TTS model, and
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2. Using the model to transform numeric input into audio output
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2. Using the model to transform numeric input into audio output
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The second step is the same for every voice, but the first step (text to numbers) varies. There are currently three implementations of step 1, described below.
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The second step is the same for every voice, but the first step (text to numbers) varies. There are currently three implementations of step 1, described below.
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