PaddleSpeech/speechx

SpeechX -- All in One Speech Task Inference

Environment

We develop under:

• python - 3.7
• docker - registry.baidubce.com/paddlepaddle/paddle:2.2.2-gpu-cuda10.2-cudnn7
• os - Ubuntu 16.04.7 LTS
• gcc/g++/gfortran - 8.2.0
• cmake - 3.16.0

Please use tools/env.sh to create python venv, then source venv/bin/activate to build speechx.

We make sure all things work fun under docker, and recommend using it to develop and deploy.

• How to Install Docker
• A Docker Tutorial for Beginners
• NVIDIA Container Toolkit

Build

1. First to launch docker container.

docker run --privileged  --net=host --ipc=host -it --rm -v $PWD:/workspace --name=dev registry.baidubce.com/paddlepaddle/paddle:2.2.2-gpu-cuda10.2-cudnn7 /bin/bash

• More Paddle docker images you can see here.

2. Create python environment.

bash tools/venv.sh

2. Build speechx and examples.

For now we are using feature under develop branch of paddle, so we need to install paddlepaddle nightly build version. For example:

source venv/bin/activate
python -m pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
./build.sh

3. 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 when docker 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

Deepspeech2 with linear feature

• DecibelNormalizer: there is a small difference between the offline and online db norm. The computation of online db norm reads features chunk by chunk, which causes the feature size to be different different with offline db norm. In normalizer.cc:73, the samples.size() is different, which causes the different result.