Our demo recognizes speech from microphone. Requires Google Chrome. Press a button and say something. The result will be displayed on the right.
2020/08/06
Alpha Cephei presented a great talk on FreeSwitch developers conference ClueCon 2020 titled "Open source speech technology in telephony in 2020". You can find the video here.
2020/05/07
We are proud to announce some updates to our Vosk platform version 0.3.7
2020/02/04
We are happy to announce the availability of Spanish and Portuguese support for Alpha Cephei. Models for mobile API are available on Github. Our engine now supports 7 major languages.
2019/11/04
We are happy to announce the availability of Mandarin Chinese support for Alpha Cephei. Models both for web API and mobile API are available on Github. Try them here.
2019/04/02
We also gave a talk on VOSK in Novosibirsk State University. The auditory was very warm and welcoming and helped us a lot with precise and interesting questions.
Smart Home
Manage your home, lights, locks and other devices with simple voice commands
Many Languages
Chinese, Hindi, Spanish, English, Russian, French, German, all major languages of the world
Chatbots
Build intelligent conversational interfaces with your clients using our ASR and NLP technology
Hearables
Build voice-enabled mobile applications working offline without internet connection, providing security, privacy and smooth fast response experience.
Robots
Make natural language orders to our new mates everywhere - at the office, at factory, on space station
Automotive
Don't distract yourself on the road - manage music and entertainment with voice
VOSK is an innovative, next generation open source speech recognition toolkit. It focuses on life-long semi-supervised learning with huge datasets. The idea is to apply audio fingerprinting approach to learn speech sounds as well as other non-speech sounds. We are also considering support for distributed multiparty learning as core feature of the toolkit.
VOSK enables fully offline speech recognition without internet connection and data transfer.
To name few other advantages or our approach: we can quickly train on 100000 hours of speech data, we can correct recognizer behavior just by adding samples. We can also parallelize training across thousands of nodes.
Check Vosk documentation and try it.
Alpha Cephei primary mission is scientific one. We spent more than 10 years researching speech production, speech recognition and all related areas. We have made a significant progress in understanding the nature of such a marvelous communication method as speech.
At the same time we are also the experts in implementation of the state of the art algorithms in practical systems. We excelled our capabilities during numerous projects in many companies around the world.
We hope you'll find our software, our publications and thoughts useful.