Hiver VS Kaldi

Depending on the potential value of the workflow, https://gmelius.com/ and https://hiverhq.com/ are both pretty awesome. Source: 12 months ago

If you're u sing shared inboxes, you may want to consider https://hiverhq.com/ or https://www.dragapp.com/ for doing shared inbox functionality with workspace. Source: about 1 year ago

You might want to check out Hiver. It's built on top of Gmail, it's really easy to set up and even easier to grasp. It has all the features that your team would need to run its support operations successfully. And its pretty cost-effective against Zendesk. Source: about 1 year ago

Hey I was wondering if you considered trying Hiver since you mentioned that all CX operations were conducted out of Gmail. Hiver's a support solution that works on top of Gmail UI and is therefore really easy to use. Full disclosure: I work with the content team at Hiver. Source: over 1 year ago

I'm thinking that all these other apps might be facilitated in Mattermost. Probably not the email client and inbox email sharing but perhaps there's an integration to another tool like front.com or hiverhq.com (gmail based) that would help take care of managing email too. Source: over 1 year 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