Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a2618b59fcd45751

Jump to content

// Workers AI · dad joke modeWhat did RWTH ASR say to its date? You're a great match.

From Wikipedia, the free encyclopedia

RWTH ASR (short RASR) is a proprietary speech recognition toolkit.

The toolkit includes newly developed speech recognition technology for the development of automatic speech recognition systems. It has been developed by the Human Language Technology and Pattern Recognition Group at RWTH Aachen University.

RWTH ASR includes tools for the development of acoustic models and decoders as well as components for speaker adaptation, speaker adaptive training, unsupervised training, discriminative training, and word lattice processing.[1] The software runs on Linux and Mac OS X. The project homepage offers ready-to-use models for research purposes, tutorials, and comprehensive documentation.

The toolkit is published under a license called "RWTH ASR License", which is derived from the QPL. This license grants free usage including re-distribution and modification for non-commercial use. Unlike QPL, it does not permit commercial use.

See also

[edit]

References

[edit]
  1. Rybach, D.; C. Gollan; G. Heigold; B. Hoffmeister; J. Lööf; R. Schlüter; H. Ney (September 2009). "The RWTH aachen university open source speech recognition system". Interspeech 2009. Curran. pp. 2111–2114. doi:10.21437/Interspeech.2009-604. S2CID 17986018.
[edit]