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|
%global _empty_manifest_terminate_build 0
Name: python-speechmix
Version: 0.0.32
Release: 1
Summary: Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
License: Apache
URL: https://github.com/voidful/SpeechMix
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/04/e0/8453be39c4d6e137addaa530d3074ff8de2111a826dc82d88df46b4942a7/speechmix-0.0.32.tar.gz
BuildArch: noarch
Requires: python3-asrp
Requires: python3-transformers
Requires: python3-datasets
Requires: python3-librosa
Requires: python3-s3prl
%description
# SpeechMix
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together.
Implementation of:
[Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) - ACL2021
[Multilingual Speech Translation with Efficient Finetuning of Pretrained Models](https://arxiv.org/abs/2010.12829) - ACL2021
[Lightweight Adapter Tuning for Multilingual Speech Translation](https://arxiv.org/abs/2106.01463) - Interspeech 2021
[Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://arxiv.org/abs/2107.05782) - ACL2021
[A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks](https://arxiv.org/abs/2010.11338) - ICASSP 2021
## Installation
### pip install
```bash
pip install speechmix
```
### Build from source
git clone and cd into this project.
```shell
pip install -e .
```
## Name the project(!important)
WANDB_PROJECT=amazing
## base
```shell
python train.py --speech_model_config wav2vec2 \
--nlp_model_config facebook/bart-base \
--SpeechMixEED \
--dataset librispeech_asr \
--field clean \
--train_split train.100 \
--test_split validation \
--batch 3 \
--grad_accum 20 \
--epoch 30 \
--worker 15 \
--share_layer_ratio 0 \
--down_scale 2 \
--lr 4e-5 \
--warmup_steps 500 \
--wandb \
--notes base
```
%package -n python3-speechmix
Summary: Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
Provides: python-speechmix
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-speechmix
# SpeechMix
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together.
Implementation of:
[Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) - ACL2021
[Multilingual Speech Translation with Efficient Finetuning of Pretrained Models](https://arxiv.org/abs/2010.12829) - ACL2021
[Lightweight Adapter Tuning for Multilingual Speech Translation](https://arxiv.org/abs/2106.01463) - Interspeech 2021
[Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://arxiv.org/abs/2107.05782) - ACL2021
[A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks](https://arxiv.org/abs/2010.11338) - ICASSP 2021
## Installation
### pip install
```bash
pip install speechmix
```
### Build from source
git clone and cd into this project.
```shell
pip install -e .
```
## Name the project(!important)
WANDB_PROJECT=amazing
## base
```shell
python train.py --speech_model_config wav2vec2 \
--nlp_model_config facebook/bart-base \
--SpeechMixEED \
--dataset librispeech_asr \
--field clean \
--train_split train.100 \
--test_split validation \
--batch 3 \
--grad_accum 20 \
--epoch 30 \
--worker 15 \
--share_layer_ratio 0 \
--down_scale 2 \
--lr 4e-5 \
--warmup_steps 500 \
--wandb \
--notes base
```
%package help
Summary: Development documents and examples for speechmix
Provides: python3-speechmix-doc
%description help
# SpeechMix
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together.
Implementation of:
[Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) - ACL2021
[Multilingual Speech Translation with Efficient Finetuning of Pretrained Models](https://arxiv.org/abs/2010.12829) - ACL2021
[Lightweight Adapter Tuning for Multilingual Speech Translation](https://arxiv.org/abs/2106.01463) - Interspeech 2021
[Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://arxiv.org/abs/2107.05782) - ACL2021
[A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks](https://arxiv.org/abs/2010.11338) - ICASSP 2021
## Installation
### pip install
```bash
pip install speechmix
```
### Build from source
git clone and cd into this project.
```shell
pip install -e .
```
## Name the project(!important)
WANDB_PROJECT=amazing
## base
```shell
python train.py --speech_model_config wav2vec2 \
--nlp_model_config facebook/bart-base \
--SpeechMixEED \
--dataset librispeech_asr \
--field clean \
--train_split train.100 \
--test_split validation \
--batch 3 \
--grad_accum 20 \
--epoch 30 \
--worker 15 \
--share_layer_ratio 0 \
--down_scale 2 \
--lr 4e-5 \
--warmup_steps 500 \
--wandb \
--notes base
```
%prep
%autosetup -n speechmix-0.0.32
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-speechmix -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.32-1
- Package Spec generated
|
