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1.9 KiB
1.9 KiB
SpeechX -- All in One Speech Task Inference
Environment
We develop under:
- docker - registry.baidubce.com/paddlepaddle/paddle:2.1.1-gpu-cuda10.2-cudnn7
- os - Ubuntu 16.04.7 LTS
- gcc/g++ - 8.2.0
- cmake - 3.16.0
We make sure all things work fun under docker, and recommend using it to develop and deploy.
Build
- First to launch docker container.
nvidia-docker run --privileged --net=host --ipc=host -it --rm -v $PWD:/workspace --name=dev registry.baidubce.com/paddlepaddle/paddle:2.1.1-gpu-cuda10.2-cudnn7 /bin/bash
-
More
Paddle
docker images you can see here. -
If you want only work under cpu, please download corresponded image, and using
docker
insteadnviida-docker
.
- Build
speechx
andexamples
.
pushd /path/to/speechx
./build.sh
- Go to
examples
to have a fun.
More details please see README.md
under examples
.
Valgrind (Optional)
If using docker please check
--privileged
is set whendocker run
.
- Fatal error at startup:
a function redirection which is mandatory for this platform-tool combination cannot be set up
apt-get install libc6-dbg
- Install
pushd tools
./setup_valgrind.sh
popd
TODO
- DecibelNormalizer: there is a little bit difference between offline and online db norm. The computation of online db norm read feature chunk by chunk, which causes the feature size is different with offline db norm. In normalizer.cc:73, the samples.size() is different, which causes the difference of result.