Finally a v1.0 release with 3x more data

The largest Russian STT dataset up-to-date

• ~16m utterances;
• ~20 000 hours;
• 2,3 TB of data(in .wav format in int16);
• A wide variety of practical, close to real-life domains;

Major highlights

• ~3 000 hours of a completely new domain - public speech;
• A huge Radio dataset update with 10 000+ hours ;
• A 5% demo version of new Radio/Public Speech datasets;
• Vastly improved dataset normalization;
• Overall annotation quality is improved:
  • Upstream model quality improvement;
  • No more "dangling" letters;
  • Improved voice activity detection;
    See the above TLDR bullets;

Next steps

• Major past error clean-up planned in 1.1;
• Refine and publish speaker labels, probably add speakers for old datasets;
• Improve / re-upload some of the existing datasets, refine the STT labels;
• Probably add new languages;
• Add pre-trained models;