Unfortunately we forgot to add a license file to this repo when we moved the examples to a separate repository. The main repo had the Mozilla Public License 2.0 and our intention was always to keep it as is. I'm tagging contributors to this repo to confirm that you agree to license your contributions as MPL-2.0. If you agree, please reply with a comment here saying "I agree to license my contributions to this repository under the Mozilla Public License 2.0."

• [x] @carlfm01
• [x] @Connoropolous
• [x] @dsteinman
• [x] @eagledot
• [x] @eoinoreilly30
• [x] @erksch
• [x] @hadran9
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i am getting the segmentation fault(core dumped) error when doing the live transcription through Websockets after approx 1 sec or less than this. I only got one word of transcription after that error comes ... sometimes I got the malloc error.......I don't know how to fix this....

https://github.com/coqui-ai/STT-examples/tree/r0.9/vad_transcriber

e.g. contains link to https://github.com/coqui-ai/STT-examples/blob/doc/audioTranscript.png 404

and mozilla references

error log>npm ERR! code E404 npm ERR! 404 Not Found - GET https://registry.npmjs.org/STT - Not found npm ERR! 404 npm ERR! 404 'STT@^1.3.0' is not in this registry. npm ERR! 404 This package name is not valid, because npm ERR! 404 1. name can no longer contain capital letters npm ERR! 404 npm ERR! 404 Note that you can also install from a npm ERR! 404 tarball, folder, http url, or git url.

npm ERR! code E404
npm ERR! 404 Not Found - GET https://registry.npmjs.org/STT - Not found
npm ERR! 404
npm ERR! 404  'STT@^1.0.0' is not in this registry.
npm ERR! 404 This package name is not valid, because
npm ERR! 404  1. name can no longer contain capital letters

Hi,

was curious if it was possible to use the WASM file on nodejs for unsupported nodejs versions. I know I can load a wasm file but I was hoping there might be an example since I am not sure the javascript in a browser is 1:1 with that of nodejs (like FileReader) or audioinput.

Thanks for any advice.

Pull request guidelines

Welcome to the 🐸STT-examples project! We are excited to see your interest, and we appreciate your support!

This repository is governed by the Contributor Covenant Code of Conduct. For more details, see the CODE_OF_CONDUCT.md file.

Before accepting your pull request, you will be asked to sign a Contributor License Agreement.

This Contributor License Agreement:

• Protects you, Coqui, and the users of the code.
• Does not change your rights to use your contributions for any purpose.
• Does not change the license of the 🐸STT-examples project. It just makes the terms of your contribution clearer and lets us know you are OK to contribute.

This is a simple demo for the WASM version of STT, which does not require a bundler and fetches the WASM libstt directly from the latest Github release.

NPM is used to reduce the boilerplate by reusing an HTTP server and a file downloader\unzipper.

Note: npm download currently fails as the "1.4.0" is marked as pre-release.

Pull request guidelines

Welcome to the 🐸STT-examples project! We are excited to see your interest, and we appreciate your support!

This repository is governed by the Contributor Covenant Code of Conduct. For more details, see the CODE_OF_CONDUCT.md file.

Before accepting your pull request, you will be asked to sign a Contributor License Agreement.

This Contributor License Agreement:

• Protects you, Coqui, and the users of the code.
• Does not change your rights to use your contributions for any purpose.
• Does not change the license of the 🐸STT-examples project. It just makes the terms of your contribution clearer and lets us know you are OK to contribute.

Correct package name and newer version

Pull request guidelines

Welcome to the 🐸STT-examples project! We are excited to see your interest, and we appreciate your support!

This repository is governed by the Contributor Covenant Code of Conduct. For more details, see the CODE_OF_CONDUCT.md file.

Before accepting your pull request, you will be asked to sign a Contributor License Agreement.

This Contributor License Agreement:

• Protects you, Coqui, and the users of the code.
• Does not change your rights to use your contributions for any purpose.
• Does not change the license of the 🐸STT-examples project. It just makes the terms of your contribution clearer and lets us know you are OK to contribute.

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • batch_processing/requirements.txt

Keras-Preprocessing 1.1.2 requires numpy, which is not installed.
Keras-Applications 1.0.8 requires numpy, which is not installed.
h5py 2.10.0 requires numpy, which is not installed.
bokeh 1.4.0 requires numpy, which is not installed.

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 471/1000
Why? Recently disclosed, Has a fix available, CVSS 3.7 | Buffer Overflow
SNYK-PYTHON-NUMPY-2321966 | numpy:
1.17.3 -> 1.22.0
| No | No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • batch_processing/requirements.txt

Keras-Preprocessing 1.1.2 requires numpy, which is not installed.
Keras-Applications 1.0.8 requires numpy, which is not installed.
h5py 2.10.0 requires numpy, which is not installed.
bokeh 1.4.0 requires numpy, which is not installed.

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 578/1000
Why? Proof of Concept exploit, Recently disclosed, Has a fix available, CVSS 3.7 | Buffer Overflow
SNYK-PYTHON-NUMPY-2321969 | numpy:
1.17.3 -> 1.22.0rc1
| No | Proof of Concept | 578/1000
Why? Proof of Concept exploit, Recently disclosed, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
SNYK-PYTHON-NUMPY-2321970 | numpy:
1.17.3 -> 1.22.0rc1
| No | Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic

def four_to_one(self, frame): #[ch1,ch2,ch3,ch4||ch1,ch2,ch3,ch4||ch1,ch2,ch3,ch4||ch1,ch2,ch3,ch4] frame = np.frombuffer(frame, np.int16) data = frame.reshape((self.CHANNELS,-1), order='F') b = 1/self.CHANNELS x = np.int16(0) for c in data: x+=c*b frame = (x.astype(np.int16)).tobytes() return frame The above code is part of converting 4 channels frame to 1 channel. mic_vad_streaming.py file freezes when running on Raspberry and trying to record 4 channels. The function mentioned above is called inside the vad_collector function when length of the frame is larger than 2560.

This is essentially a copy of https://github.com/mozilla/DeepSpeech-examples/issues/187

Where the problem seems the same. Is there any support on this..?

Some example projects are not listed under the appropriate section of the main README.

Notably for Android examples, the main readme points to a depreciated example while we have a working example not listed.

Adding the missing ones manually can solve the issue temporarily but a more permanent solution would be to make checklist in the template for PR or something.

For example:

pi@raspberrypi:~/Source/STT-examples $ git diff
diff --git a/mic_vad_streaming/requirements.txt b/mic_vad_streaming/requirements.txt
index e97d363..3eb12cc 100644
--- a/mic_vad_streaming/requirements.txt
+++ b/mic_vad_streaming/requirements.txt
@@ -1,7 +1,7 @@
-stt~=1.0.0
+stt~=1.3.0
 pyaudio~=0.2.11
 webrtcvad~=2.0.10
 halo~=0.0.18
 numpy>=1.15.1
 scipy>=1.1.0
-pyautogui~=0.9.52
\ No newline at end of file
+pyautogui~=0.9.52

The web_microphone_websocket example works for localhost, but on a domain there were CORS errors from the socket.io code, e.g. Chrome:

Access to XMLHttpRequest at 'https://example.com:4000/socket.io/?EIO=3&transport=polling&t=Nu-iT4E' from origin 'https://example.com.cz:3000' has been blocked by CORS policy: No 'Access-Control-Allow-Origin' header is present on the requested resource.

Several recipes from SO and the socket.io docs did not work, perhaps someone with better JS knowledge might help.