Speechmatics

Speechmatics Ltd
Privately held company
Industry Speech recognition
Founded 2012
Headquarters Cambridge, UK
Area served
 Global
Products Automatic Speech Recognition (ASR), Cloud-based ASR, Automatic Linguist
Number of employees
 58 (2018)
Website https://www.speechmatics.com

Speechmatics is a technology company based in Cambridge, England, which develops automatic speech recognition software (ASR) based on recurrent neural networks and statistical language modelling. Speechmatics was originally named Cantab Research Ltd when founded in 2006 by speech recognition specialist Dr. Tony Robinson.[1][2]

In 2014 Cantab Research Ltd led the development of a billion-word text corpus for measuring progress in statistical language modelling and placed the corpus into the public domain to help accelerate the development of speech recognition technology.[3]

In 2017 the company announced they had developed a new computational method for creating new language models at speed.[4] Around the same time Speechmatics announced a partnership with Qatar Computing Research Institute (QCRI) to develop advanced Arabic speech to text services.[5]

References

  1. ↑ Clawson, Trevor. "Finding A Voice - Can A UK Startup Compete With IT's Heavy Hitters In The Speech Recognition Market". www.forbes.com. Forbes Inc. Retrieved 17 May 2018.
  2. ↑ Research, QY (April 2018). "Global Speech and Voice Recognition Market Research Report 2018". QY Research Reoprts: 118. Retrieved 17 May 2018.
  3. ↑ Chelba, Ciprian; Mikolov, Tomas (March 2014). "One billion word benchmark for measuring progress in statistical language modeling". Interspeech. arXiv:1312.3005. Bibcode:2013arXiv1312.3005C.
  4. ↑ Orlowski, Andrew. "Total recog: British AI makes universal speech breakthrough". The Register. Situation Publishing. Retrieved 17 May 2018.
  5. ↑ Erdagami, Ahmed. "QCRI in deal with UK's Speechmatics to take Arabic transcription technology global". Qatar is Booming. ME Business Wire. Retrieved 17 May 2018.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.