That is, no known system is flawless. Even OCR is at best one error per page of text and speech to text seems to be one error per line at times (I'm leaning to the worst on that sentence.)
So https://www.netguru.co/blog/voice-recognition-tools-review kicks around the current front runners but if I was on the team my nod would be Google's cloud api and code + MONEY to do the work. I think in your case, Nuance is your winner.
You won't be happy since this is not 100% accurate no matter which you use.
Then again the OLD SCHOOL METHOD was a transcription service where you pay by the word or page.
Can someone point me in the direction of reliable, accurate software that transcribes per-recorded lecture audio to text? Or perhaps some software that will convert any human voice into a digital voice?
The problem is that the language is highly technical, the quality often poor and often heavily accented.
Manually transcribing will take many, many hours, and using an outside transcription service is not an option because of the confidential information in the lectures.
I have already looked into various types of transcription software, and Nuance's Dragon seems to lead the pack, but you can only register one voice per license, and I need to be able to transcribe different speakers, with audio that is sometimes not of the best quality.
(FYI....I have shared this query on several different forums...)
Any help is greatly appreciated, and I thank you in advance for your response(s).