Transcriber AI – Free, end-to-end machine based transcription with speaker id
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Transcriber AI – Free, end-to-end machine based transcription with speaker id
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Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#2Is 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.
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#3Is 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.
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#4Is 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.
I use whisper and pyannote (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.
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#5Is 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.
Yes. 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.
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#6Is 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.
Yes. 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.
How are you doing speaker id?
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#7Earlier quoted context omitted.
Yes. 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.
How are you doing speaker id?
It (mostly correctly) ID'd the SCOTUS justices on this one. Pretty cool!
https://transcriberai.com/Overview/aa908e33-5680-462a-94ff-6...
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#8Impressed by how accurately this identified and transcribed. Nice work
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#9Impressed by how accurately this identified and transcribed. Nice work
Thanks, did you try the editor?
Re: Transcriber AI – Free, end-to-end machine based transcription with speaker id
#10Nice work. Like to learn more about this new technology