cv-dataset
Metadata and versioning details for the Common Voice dataset (by common-voice)
vosk-browser
A speech recognition library running in the browser thanks to a WebAssembly build of Vosk (by ccoreilly)
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cv-dataset | vosk-browser | |
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2 | 3 | |
129 | 326 | |
2.3% | - | |
5.0 | 0.0 | |
5 days ago | 4 months ago | |
JavaScript | JavaScript | |
Mozilla Public License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cv-dataset
Posts with mentions or reviews of cv-dataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-13.
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Common Voice dataset tops 20,000 hours
Access the metadata:(https://github.com/common-voice/cv-dataset)
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How do I train a model with Mozilla's common voice dataset, when it's got only 1 file?
I searched a few sites on how the dataset should look like and here I found the .tar should look like this:
vosk-browser
Posts with mentions or reviews of vosk-browser.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-15.
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Show HN: I record myself on audio 24x7 and use an AI to process the information
Not the OP but I've been tinkering with the same concept (24/7 processing).
'm using vosk browser: https://github.com/ccoreilly/vosk-browser
To do speech to text locally and it works very well for English.
- Speech-to-Text Client-Side?
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On-device browser translations with Firefox Translations
I believe this is called the Bergamot project, more can be found here: https://browser.mt/
The GitHub repo for it is here: https://github.com/browsermt/bergamot-translator
The repo contains some details about how to run it in WASM which is quite interesting for embedding it in pages. I've been playing around with using WASM to capture speech to text (https://github.com/ccoreilly/vosk-browser) and automatically translating it using Bergamot.
Results have been, ok. I don't think the tech is quite there yet and the speech to text obviously struggles with multiple speakers.