Deepgram advertised itself as being the fastest, and I wanted to focus on limiting response delay so I chose it. I hope I did not get misled.
Among local solutions, Whisper SDK doesn't support streaming, I haven't seen any good workarounds or successfully implemented it. VOSK, DeepSpeech, Kaldi, et al were good once upon a time... Picovoice seems to be doing well.
I was planning to work on this: https://picovoice.ai/blog/chatgpt-ai-virtual-assistant-in-py... using Eleven Labs and Cheetah. Hope I can crave some time
[0]: https://github.com/ggerganov/whisper.cpp/tree/master/example...
[1]: https://github.com/ggerganov/whisper.cpp/blob/master/example...
but whisper is designed to process audio files in 30-second batches if I'm not mistaken. it's been a while since whisper released, lol. These workarounds make the window smaller but it doesn't change the fact that they're workarounds. you can adjust, modify, or manipulate the model. You can't write or train it from scratch. check out the issues referring to the real-time transcription in the repo.
can you use it? yes would it perform better than Deepgram? -although it's an API and probably not the best API- I am not sure. would i use it in my money-generating application? absolutely not.