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Based on our record, Kaldi should be more popular than NaturalReader. It has been mentiond 12 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.
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
Wait til you get to CS-330 I'm taking it rn, definitely the hardest class I've ever taken. Also, with that many readings, consider using naturalreaders.com That's what I use for the majority of the readings, I set the WPM at like 230 or so and just follow along, because I read incredibly slow, but can understand it and get through it way faster if I listen to it. This resource has saved me a ton of time so far! Source: about 2 years ago
Invest in software like naturalreaders.com that will read your assignments out loud. I'm sure there are better versions than this, but it's the one I use. It lets you set the speed and follow along, which is helps SO MUCH when you're dealing with dry boring material. You can even put your class notes in there and it will read them out loud to help you with memorization. Source: over 2 years ago
I wrote my entire explanation of WHY I am having them do the assignment. Please note that I also included a link to naturalreaders.com and told them that because this was so important that if they had trouble reading long text (and these instructions are not that long) to use the text-to-speech function. Source: over 2 years ago
Upload text and documents or convert to mp3 to listen to anywhere anytime. Bored of reading everything? Upload the text on this site and it will convert it in mp3 file. Really good one in my persoanl opinion Https://naturalreaders.com. Source: over 2 years ago
TL = target language, in your case, Spanish. I've been doing a lot of L-R--but as Ryan says, just with Spanish text/audio. I can recommend these sites: openlibrary.org (free to sign up for/use), librosdemario, holaebook, and lelibros.online. I then use the Google Read&Write extension to read the text to me if it's online or naturalreaders.com if it's a download. Good luck! Source: about 3 years ago
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