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Transcriber AI – Free, end-to-end machine based transcription with speaker id
- jjbinx007 2y agoIs there anything like this available to run locally? Our HR dept wants to use something to transcribe interviews but doesn't want to submit data to some random website.
- broland 2y agoI use whisper and pyannote (https://github.com/m-bain/whisperX https://github.com/m-bain/whisperX), but it is a pain to run locally - I run it on a 4080. This seems to be actually trying to identify the speakers. Not sure what they are doing for that.
- LunaRoot 2y agoseems like running it somewhere secured is the answer, rather than hosting on your own.
- okeysmokey 2y agoIs this using Whisper or something else? It looks like the site performs multiple steps on the audio and did a decent job of guessing who was speaking.
- WinH 2y agoYes. We run run Whisper Large V3 (not Turbo) for the speech to text. It still seems to be the best open source model out there for that step. The main challenge we are trying to solve is Speaker Identification, which is a very time consuming process.
- okeysmokey 2y agoHow are you doing speaker id?
- okeysmokey 2y agoIt (mostly correctly) ID'd the SCOTUS justices on this one. Pretty cool! https://transcriberai.com/Overview/aa908e33-5680-462a-94ff-6ded511bf613 https://transcriberai.com/Overview/aa908e33-5680-462a-94ff-6...
- LunaRoot 2y agoReally cool! thanks for sharing.
- kerryritter 2y agoImpressed by how accurately this identified and transcribed. Nice work
- WinH 2y agoThanks, did you try the editor?
- sachinjarral161 2y agoNice work. Like to learn more about this new technology
- sachinjarral161 2y agoNice work. AI will enhance this technology
- LunaRoot 2y agospeaker identification will be the next breakthrough in AI transcription. Correctly identifying speakers greatly improves the end user's perceived quality of the final transcription product.