SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.
Based on our record, Krisp seems to be a lot more popular than SpeechText.ai. While we know about 141 links to Krisp, we've tracked only 2 mentions of SpeechText.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Healthcare is one of the biggest industries in the world. Doctors, nurses, and other health care practitioners are using technology to enhance their performance. Voice recognition technologies and medical speech recognition software have become essential for healthcare providers. This sector includes many companies developing highly efficient voice recognition tools. Source: over 2 years ago
I also tried speechtext.ai which honestly did a very good job and I'm happy with it, but pricing wise it's too much. Source: almost 3 years ago
Krisp is outstanding for filtering out unwanted noise on calls and streams. Say goodbye to fire engines in the background while you stream. 🤣. - Source: dev.to / about 1 month ago
You can try https://krisp.ai . Voice isolation in my experience doesn’t work well outside. Source: 6 months ago
I currently have to VPN into locked-down VM Horizon desktop (all apps installs are managed by the client GIS staff). Are you running krisp.ai outside of your VPN session? Source: 11 months ago
I don't have a problem with noise in Thailand but when I do work in a cafe and I need to speak to someone, I would use my background noise cancellation app. https://krisp.ai/. Source: 12 months ago
This https://krisp.ai/ works well to overcome background noise and conversations during meetings. It cleans up the audio you send and also the audio you receive. Not affiliated with them at all, just a satisfied customer. - Source: Hacker News / about 1 year ago
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