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[stergro (Stefan Grotz)]

Es gibt jetzt zu einigen der Themen ein paar Updates:

Common Voice Quarter 1 2020 Community Update

2020 has already been a big year for Common Voice. Entering the second quarter of the year, the Common Voice platform is equipped with exciting new features that set us up for success as the project moves forward. Some of the features we have already implemented, as well as the ones which are planned for the near future, are the result of a broader strategy which allows us to get immediate and direct feedback from you, the community. This strategy also helps us direct our work to where it’s nee…

Hier z.B. über die Qualität der Sätze. Im vorletzen Absatz klingt das so als würde es bald (“zweites Quartal”) Richtlinien zum Validieren geben:

@Christos

Improving our Dataset’s Quality

Last year, we spent a lot of time talking to you about our dataset’s quality. After taking this feedback to our internal team and conducting further research with industry experts, we established a quality criteria for high-quality STT (Speech To Text) datasets. This has helped us identify the biggest gaps between high-quality STT datasets and the Common Voice dataset as it is today.

This year, we want to bridge that gap, by introducing a set of updates to the Common Voice platform and our dataset.

An example of our commitment towards improving our dataset’s quality is our current effort to decrease data repetition. Currently, Common Voice allows people to record the same sentence over and over again once there are no new sentences. Our Deep Speech colleagues are using just one recording per sentence and the trained models provide lower word error rate than they would if they used many repetitions. This has been further confirmed by research with additional machine learning experts. As a result, we have decided to limit our validated recordings to one per sentence for languages where we expect to have enough validated hours to train an STT model.

Additionally, an important characteristic of a good dataset is to have a consistent and accurate annotation of the audio. This means that a recorded clip should only be considered valid if the text associated with the audio is 100% matched. We have received feedback from experts that Common Voice audio annotation is not considered to be of high quality…yet, and we have also heard requests from the community for more clear guidelines on annotation. This is a larger theme of work our team is committed to working on and efforts will kick-off as we move into the Second Quarter of the year.

Expect a detailed post about these feature releases as they roll out in the near future.