Jump to content

Unisound

From Wikipedia, the free encyclopedia
Unisound
Native name
云知声
Company typePrivate
IndustryTechnology
Founded2012 (2012)
Headquarters,
China
Number of locations
4
Area served
Worldwide
Key people
  • Huang Wei (CEO)
Websiteunisound.com

Beijing Unisound Information Technology Co., Ltd., often shortened to Unisound, is a Chinese technology company based in Beijing. It is a unicorn startup[1] specialising in speech recognition and artificial intelligence services applicable to a variety of industries.[2]

History

[edit]

Since the company was founded in 2012 by Huang Wei it has raised over US$250 million.[3] In 2018 Unisound raised US$100 million from the China Electronics Health Fund.[4]

Technology

[edit]

Unisound has been involved in academic research relating to voice recognition technologies and acoustic modelling powered by deep neural networks.[3][5]

In 2018, Unisound developed their product Swift which they described as the first AIoT chip due to its combination of AI and IoT technologies.[6] The development of Swift was accelerated due to strategic collaborations with Baidu and IngDan (硬蛋), a subsidiary of the Cogobuy Group.[7] Due to the chip's implementation of deep learning and AI, it is purported to process up to 50 times faster than other AI chips on the market.[7]

Their technology has been developed for industries such as TV manufacturing, air conditioner production, healthcare and automotive technology.[4]

References

[edit]
  1. ^ "China Unicorn Ranking" Archived 2017-12-03 at the Wayback Machine, China Money Network, May 2017
  2. ^ "Beijing Unisound Information Technology Co., Ltd.: Private Company Information - Bloomberg". Bloomberg. Retrieved 16 January 2019.
  3. ^ a b "China's AI Industry Has Given Birth To 14 Unicorns: Is It A Bubble Waiting To Burst?". Forbes. 5 October 2018.
  4. ^ a b "Chinese AI Firm Unisound Raises $100M Series C Round Led By China Electronics Health Fund". China Money Network. 11 May 2018.
  5. ^ Long, Yanhua; Ye, Hong; Li, Yijie; Liang, Jiaen (2 September 2018). "Active Learning for LF-MMI Trained Neural Networks in ASR" (PDF). Interspeech 2018. pp. 2898–2902. doi:10.21437/Interspeech.2018-1162. S2CID 52192334.
  6. ^ "INGDAN.com Partners with Unisound's Open Source Chip Program to Support AIoT Technology Development". Geospatial World. 15 October 2018.
  7. ^ a b "Cogobuy Supports Unisound in Release of World's First AIoT Chip". Market Watch. 17 May 2018.
[edit]