Trint VS Kaldi

Create audio descriptions of visual content, such as images and videos. Descript, Caption AI, Trint, and IBM Watson Captioningare good tools for generating captions and descriptions for videos. Source: about 1 year ago

You could check on this for transcription. Source: about 1 year ago

There's simple ones like Trint (https://trint.com/) for transcription of interviews and things like Grammarly for improving text. ChatGPT is also good at improving text: chat.openai.com/. Source: over 1 year ago

If not, see how you get on with Trint. It’s AI transcription but you should find it more accurate than Premiere (and you can use it to quickly create SRT files after the transcript has been reviewed/corrected). Trint is very good. Source: over 1 year ago

The client I’m working for currently turned me on to https://trint.com/. It’s a transcription service that syncs the searchable transcript to the time code of the clip. Script has bad timecode for a cut? Search the text to jump to the correct time. Bad inflection on the end of a sound bite? Search for the word with a period after it, so you only get sentence ending instances of the word. It has made my life so... Source: almost 2 years ago

Yeah, whisper is the closest thing we have, but even it requires more processing power than is present in most of these edge devices in order to feel smooth. I've started a voice interface project on a Raspberry Pi 4, and it takes about 3 seconds to produce a result. That's impressive, but not fast enough for Alexa. From what I gather a Pi 5 can do it in 1.5 seconds, which is closer, so I suspect it's only a... - Source: Hacker News / 4 months ago

You can study CTC in isolation, ignoring all the HMM background. That is how CTC was also originally introduced, by mostly ignoring any of the existing HMM literature. So e.g. Look at the original CTC paper. But I think the distill.pub article (https://distill.pub/2017/ctc/) is also good. For studying HMMs, any speech recognition lecture should cover that. We teach that at RWTH Aachen University but I don't think... - Source: Hacker News / 7 months ago

I also tried Kaldi but the build process was too much for my tiny brain; I've also heard good things about vosk but didn't try that. Source: about 1 year ago

Frameworks as well as toolkits like Kaldi were at first promoted by the research study area, yet nowadays used by both scientists and also market experts, reduced the access obstacle in the advancement of automatic speech recognition systems. Nonetheless, cutting edge methods need big speech data readies to achieve a usable system. Source: over 1 year ago

If you interested in unix-like software design and not yet familiar with kaldi toolkit, you definitely need to check it https://kaldi-asr.org It extended Unix design with archives, control lists and matrices and enabled really flexible unix-like processing. For example, recognition of a dataset looks like this: extract-wav scp:list.scp ark:- | compute-mfcc-feats ark:- ark:- | lattice-decoder-faster final.mdl... - Source: Hacker News / over 1 year ago