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Merge pull request #1816 from mozilla/update-to-0.4
Bump version to 0.4.0
2 parents b1c1ee7 + ff2db35 commit 48ad711

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README.md

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If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the [DeepSpeech releases page](https://github.com/mozilla/DeepSpeech/releases). Alternatively, you can run the following command to download and unzip the files in your current directory:
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```bash
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wget -O - https://github.com/mozilla/DeepSpeech/releases/download/v0.3.0/deepspeech-0.3.0-models.tar.gz | tar xvfz -
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.4.0/deepspeech-0.4.0-models.tar.gz
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tar xvfz deepspeech-0.4.0-models.tar.gz
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```
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## Using the model
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also, if you need some binaries different than current master, like `v0.2.0-alpha.6`, you can use `--branch`:
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```bash
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python3 util/taskcluster.py --branch "v0.2.0-alpha.6 --target ."
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python3 util/taskcluster.py --branch "v0.2.0-alpha.6" --target "."
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```
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This will download `native_client.tar.xz` which includes the deepspeech binary and associated libraries, and extract it into the current folder. `taskcluster.py` will download binaries for Linux/x86_64 by default, but you can override that behavior with the `--arch` parameter. See the help info with `python util/taskcluster.py -h` for more details. Proper DeepSpeech or TensorFlow's branch can be specified as well.

VERSION

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0.4.0-alpha.3
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0.4.0

examples/ffmpeg_vad_streaming/package.json

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},
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"dependencies": {
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"argparse": "^1.0.10",
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"deepspeech": "^0.3.0",
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"deepspeech": "^0.4.0",
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"node-vad": "^1.1.1",
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"util": "^0.11.1"
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},

examples/mic_vad_streaming/requirements.txt

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deepspeech~=0.3.0
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deepspeech~=0.4.0
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pyaudio~=0.2.11
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webrtcvad~=2.0.10
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halo~=0.0.18
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deepspeech==0.3.0
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deepspeech==0.4.0
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webrtcvad
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pyqt5

examples/vad_transcriber/wavTranscription.md

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```
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(venv) ~/Deepspeech/examples/vad_transcriber
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$ python3 audioTranscript_cmd.py --aggressive 1 --audio ./audio/guido-van-rossum.wav --model ./models/0.3.0/
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$ python3 audioTranscript_cmd.py --aggressive 1 --audio ./audio/guido-van-rossum.wav --model ./models/0.4.0/
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Filename Duration(s) Inference Time(s) Model Load Time(s) LM Load Time(s)

native_client/README.md

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make npm-pack
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```
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This will create the package `deepspeech-0.3.0.tgz` in `native_client/javascript`.
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This will create the package `deepspeech-VERSION.tgz` in `native_client/javascript`.
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## Building the CTC decoder package
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