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I'm the creator of Revoldiv.com, We do speaker diarization and transcription at the same time. Give it a try.

Good point but the problem with local hosting is that if you want to use the larger models it will take a long time to transcribe a file. We use multiple gpus and we do speaker detection, sound detection and it is has a rich audio editor.

I suggest you give revoldiv.com a try, We use whisper and other models together. You can upload very large files and get an hour long file transcription in less than 30 seconds. We use intelligent chunking so that the model doesn't lose context. We are looking to increase the limit even more in the coming weeks. It's also free to transcribe any video/audio with word level timestamps.

Can you send me the audio that caused it, you can email me at team AT revoldiv .com. If there is going to be a lot of interest, yes we can provide it as an api service. Our service has some niceties like word level timestamp, paragraph separation, sound detection etc... for now it is a free service you can use as much as you want

For revoldiv.com we have profiled, many gpus, the best one is 4090. We do a lot of intelligent chunking and detect word boundaries and run the model in parallel in multiple gpus and we get about 40 to 50 seconds for an hour long audio but without expect 7 minutes for an hour long audio on tesla t4

  on tesla-t4-30gb-memory-8vcpu google cloud
   on tiny and tiny.en
    for 10 minute = 30 seconds
   on medium
    for 10 minute = 1m 30s
    for 60 minute = 7m
   on large
    for 60 miutes = 13m
  on NVIDIA GeForce RTX 4090
   on tiny
    for 10-minute = 5.5 seconds
    for 60-minute = 35 seconds
   on base
    for 10-minute = 7 seconds
    for 60-minute = 50 seconds
   on small
    for 10-minute = 14 seconds
    for 60-minute = 1 min 35 sec
   on medium
    for 10-minute = 26 seconds
    for 60-minute = 3 mins
   on large
    for 10-minute = 40 seconds
    for 60-minute = 3 min 54 sec

It's not a model you can run on your own server but a free service on revoldiv.com. You can expect 40 to 50 second wait time to transcribe an hour long video/audio. We combine whisper with our model to get word level timestamps, paragraph separation and sound detections like laughter, music etc... We recently added very basic podcast search and transcription.

https://modal-labs-whisper-pod-transcriber-fastapi-app.modal...

Interesting, which model are you using? We use the medium model which is the sweet spot between time/performance ratio. We also chunk, We try to detect words and silences to do better chunking at word boundaries but if you do more chunking and you don't get the word boundaries right it seems like whisper loses some context and the accuracy suffers. We will soon support longer hours. We just want to make sure the wait time for transcription doesn't suffer for most users. But great demo, reach out to me if you want to collaborate

I recently swapped out the AI model for voice transcription on revoldiv.com and replaced it with Whisper. The results have been truly impressive - even the smaller models outperform and generalize better than any other options on the market. If you want to give it a try, our model is capable of faster transcription by utilizing multiple GPUs and some other enhancements, and it is all free

Hey IndySun, We are in the process of writing one, but we store the file to transcribe and it gets deleted automatically after a certain amount of time has elapsed (this varies on the server configuration, but in a short amount of time). No human accesses the audio or text transcription you have uploaded

The reason for capping it at an hour is, since the service is free we want to make the experience fast for everybody. We are gauging how our service is going to be used and allocating resources accordingly. We will allow longer transcriptions in the near future.

unless you change your holdings into fiat thats not the case. You can rebalance with exchanging among your coins

as a hack, you can use a regular gmail address and forward all your emails to that address. you can also respond from a regular gmail address to your abc@yourname.com by changing the from field (you have to verify you own the email address). currently using a similar setup, custom email address but responding from a regular gmail address