Our voice library offers over 720 advanced AI voices across 64 languages. You can even commission a fully custom ethical voice clone to represent your brand.
Auto-convert content using our API, RSS Feed Importer, WordPress plugin, or Ghost plugin, or use our text-to-speech editor to create audio manually.
Distribute audio anywhere with our automatic player embeds, API, or SDKs. Create a podcast feed to publish on platforms like Spotify, Google Podcasts, and Apple Podcasts.
Measure audio engagement to granular detail with our analytics, which can be connected to your Google Analytics account, and use insights to optimize your audio strategy.
Upload audio ads from sponsors, use VAST to connect to programmatic ad platforms like Google Ad Manager or restrict audio access to subscribers only.
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I am Wordpress newbie. BeyondWords plugin works well in my blog website (I am using free version of Vantage theme). No problem at all thus far. Very easy to set up and this plugin read out my website automatically. Read out in Mandarin and English like human being, sweet and professional. I am using free version. Many choices of voice to choose from.
Thanks so much BeyondWords!
Based on our record, Kaldi should be more popular than BeyondWords. 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
Create or sign in to your BeyondWords account. - Source: dev.to / over 1 year ago
Not the one in your example, but I'm currently using https://beyondwords.io/. Source: almost 2 years ago
Just did a quick Google search because I'm sure something like this must exist. This one looked interesting since you can apparently "clone" your voice. So then you can listen to the articles read in your own voice 😅. Source: about 3 years ago
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