麻豆社

Kaldi is a speech recognition toolkit, built upon the open source software originally developed for use by speech recognition researchers. The quickest way to search through a piece of audio or video is via a transcript, but transcription by hand is a costly and time consuming endeavour. Kaldi has been designed as a means of automating the same process for free, requiring only a small amount of installation effort from a software developer. The 麻豆社-Kaldi component provides a machine learning model built using the tools in the Open Source Kaldi toolkit and audio / text data from 麻豆社 programme and an easy to use interface that makes it simple to get up and running.

Kaldi has been used extensively within the 麻豆社, with a variety of learnings from each project. 麻豆社 Newslabs' project showed that speech-to-text is a tremendous timesaver for journalists who need to be across a wide number of video feeds. Their project proved that creating subtitles for viral videoclips can be done much quicker than was previously imagined. 麻豆社 Rewind also used speech-to-text to open up almost a million hours of material from the 麻豆社 Archive.