Looking for a Diarized Transcript with Time Stamps

[elfsovereign]

Hey guys! I'm not the most familiar with coding, and I'm REALLY hoping to find a program that is 1- accurate, 2- transcribe the audio, 3- diarize the audio (label each word with which speaker is speaking (typically as generic "speaker 1, speaker 2, etc"), AND include specific time codes from the audio in the transcript. It's my eventual goal to be able to go with a python script I have "cut up the audio, and put all of speaker 1's audio into one file, all of speaker 2's audio into another, etc. etc.".
Using this tool from here: https://playground.deepgram.com/?endpoint=listen&utterances=true&utt_split=0.8&diarize=true&language=en&model=nova-2
I've gotten VERY close... It's both very accurate, and includes excellent diarization... but I don't know how to get it to add in time stamps! It seems like a natural thing it could do, but for the life of me I'm not sure HOW to get it to do it! Any ideas?

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[elfsovereign]

Already a part of it!

[deepgram-community[bot]]

Hey there! It looks like you haven't connected your GitHub account to your Deepgram account. You can do this at https://community.deepgram.com - being verified through this process will allow our team to help you in a much more streamlined fashion.

[elfsovereign]

Voila. Sorted.

[deepgram-community[bot]]

It looks like we're missing some important information to help debug your issue. Would you mind providing us with the following details in a reply?

• The deepgram product you are using (e.g Speech to Text, Agent API)
• A request ID that triggered your error or issue.

[elfsovereign]

I am using Speech to Text but via the playground.deepgram.com website rather than a locally installed program. Having a locally installed program would be neat, but I'm not quite savvy enough to figure that one out for some reason. I don't have a request ID, nor am I sure where/how/when I would get one :D

[jkroll-deepgram]

Hi @elfsovereign, from the Deepgram Playground, you can look at the words array in the transcript to see word-level start and end timestamps. We return these word-level timestamps by default; no special parameters needed. Screenshot attached.

Happy developing!