Using a Pretrained Model - Youngmi-Park/automatic-speech-recognition GitHub Wiki

Pre-trained model로 테스트하는 순서

1. Setup python environment. Install virtualenv package.

2. Create a DeepSpeech virtual environment

$ virtualenv -p python3 $HOME/tmp/deepspeech-venv/

3. Activating the environment

$ source $HOME/tmp/deepspeech-venv/bin/activate

4. Get the git-lfs repo:

curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash

5. Installing DeepSpeech Python bindings

$ pip3 install deepspeech
$ pip3 install --upgrade deepspeech

$ pip3 install deepspeech-gpu
$ pip3 install --upgrade deepspeech-gpu

6. install git-lfs:

sudo apt-get install git-lfs

7. Download the DeepSpeech github repository

$ git clone https://github.com/mozilla/DeepSpeech

8. Getting the pre-trained model

wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm
wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer

deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio my_audio_file.wav

deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio/2830-3980-0043.wav
deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio/4507-16021-0012.wav
deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio/8455-210777-0068.wav