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.
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Based on our record, Riff should be more popular than SpeechText.ai. It has been mentiond 3 times since March 2021. 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.
Ohh I've not heard of riff, I'll need to check that out. Thanks for the heads up! https://github.com/walles/riff. Source: over 1 year ago
I don't know about those features specifically, but lately I've been enjoying riff, and some other options I can think of are. Source: almost 2 years ago
#!/bin/zsh Diffj () { # [] # uses: riff: https://github.com/walles/riff emulate -L zsh local lines if [[ ! $1 ]] { # without txt arg, read from stdin lines=(${(f)"$(>&1)"}) } else { lines=(${(f)"$(<$1)"}) } local colored_lines=() lineno=2 while (( lineno<=${#lines} )) { colored_lines+=( ${(f)"$(riff --no-pager =(<<<${lines[$(( lineno-1 ))]}) =(<<<${lines[$lineno]}))"} ) ... Source: about 2 years ago
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
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