Kaldi
Microsoft Bing Speech API
CMU Sphinx
HTK
Express Scribe
Google Cloud Text-to-Speech
Microsoft Speaker Recognition API
Craft Coffee
Speechmatics
Deepgram
Fraim
LumenVox ASR
Recordense
Lilyspeech
Speechnotes
Temi
Speechmatics exists to understand every voice. Offering its speech-to-text API engine for solution and service providers to integrate into their stack irrespective of their industry or use case. Businesses use Speechmatics around the world to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect or location.
Kaldi SpeechmaticsBased on our record, Kaldi seems to be a lot more popular than Speechmatics. While we know about 12 links to Kaldi, we've tracked only 1 mention of Speechmatics. 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 / 3 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
Have you tried https://speechmatics.com/ ? I think they have a specially tuned medical version, and quite a generous free allowance. - Source: Hacker News / about 1 year ago
Microsoft Bing Speech API - Compare pricing options for the Bing Speech API through Microsoft Azure Cognitive Services. Learn how to buy various pricing options that work best for your business.
Deepgram - Search engine for speech
CMU Sphinx - CMU Sphinx is a speaker-independent large vocabulary continuous speech recognizer released under...
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…
HTK - HTK Architects has experience designing Civic, Corporate, Healthcare, Education, Judicial, Military, Religious, and Sports & Recreation facilities.
LumenVox ASR - LumenVox Automated Speech Recognizer (ASR) is a software solution that converts spoken audio into text, providing users with a more efficient means of input.
