Wikipedia

Speechmatics

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]

Speechmatics Ltd
Company typePrivately held company
IndustrySpeech recognition
Founded2006
FounderTony Robinson
HeadquartersCambridge, UK
Number of locations
Cambridge, UK, London, UK, Chennai, India, Brno, Czech Republic
Area served
Global
Key people
Katy Wigdahl (CEO)
ProductsAutomatic Speech Recognition (ASR), Cloud-based ASR, Speech-to-text, Autonomous Speech Recognition
Revenue11,342,008 Euro (2021) Edit this on Wikidata
Number of employees
100-250
Websitewww.speechmatics.com

Speechmatics offers its speech recognition for solution and service providers to integrate into their stack regardless of their industry or use case.[3] Businesses use Speechmatics to understand and transcribe human-level speech into text regardless of any gender or demographic barrier. The technology can be deployed on-premises and in public and private cloud.[4][5]

History

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Speechmatics was founded in 2006 by Tony Robinson who pioneered in the application of recurrent neural networks to speech recognition.[6][7][8] He was one of the early people who has discovered the practical capabilities of deep neural networks and how they can be used to benefit speech recognition.[9]

In 2014, the company 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.[10]

In 2017, the company announced they had developed a new computational method for creating new language models at speed.[11] Around the same time Speechmatics announced a partnership with Qatar Computing Research Institute (QCRI) to develop advanced Arabic speech to text services.[12]

In 2018, Speechmatics became the first ASR provider to develop a Global English language pack which incorporates all dialects and accents of English into one single model.[13]

In 2019, the company raised £6.35 million in venture capital investment in a Series A funding round.[14] With investment from Albion Venture Capital, IQ Capital, and Amadeus Capital Partners, Speechmatics were able to scale into a fast-growth technology start-up. In the same year, the company wins a Queen's Award for Innovation.[15][16]

In 2020, Speechmatics began scaling beyond its product development and into physical geographic locations. The company opened offices in Brno, Czech Republic, Denver, USA and Chennai, India.[17][18]

In March 2021, Speechmatics announced its launch on the Microsoft Azure Marketplace to offer any-context speech recognition technology at scale. The ability to consume Speechmatics’ speech recognition engine directly in the Microsoft Azure technology stack enables businesses to start using the technology quickly without barriers to adoption.[19]

In December 2021, Speechmatics and consumer AI startup Personal.ai announced their partnership to offer individuals a personal AI that empower them to never forget their conversations, spoken notes, reminders, details of what they said during a meeting, and more — no matter the dialect of English that they use or accent that they carry.[20]

In March 2023, Speechmatics released Ursa - a groundbreaking speech-to-text engine setting a new benchmark in transcription accuracy. Ursa, trained on millions of hours of audio data, captures spoken words in noisy and challenging environments.[21]

In July 2024, Speechmatics introduced the world to Flow - the ultimate API for voice interactions. Flow allows businesses to build inclusive, seamless and responsive speech interactions into their products.[22]

Product and services

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In February 2018, Speechmatics launched Global English, a single English language pack supporting all major English accents for use in speech-to-text transcription. Global English (GE) was trained through spoken data by users from 40 countries and billions of words drawn from global sources, making it comprehensive and accurate accent-agnostic transcription solutions on the market.[23][24]

In November 2020, the company launched the first Global Spanish language pack on the market that supports all major Spanish accents. Global Spanish (GS) is a single Spanish language pack trained on data drawn across a wide range of diverse sources – specifically those from Latin America – making it the most accurate and comprehensive accent-independent Spanish language pack for speech-to-text.[25]

In October 2021, Speechmatics launched its ‘Autonomous Speech Recognition’ software.[26][27] Using the latest techniques in deep learning and with the introduction of its breakthrough self-supervised models, Speechmatics outperforms Amazon, Apple, Google, and Microsoft in the company's latest step towards its mission to understand all voices.[28][29]

Awards and recognition

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Speechmatics was named in the FT 1000: Europe's Fastest Growing Companies list for consecutive four years from 2019 to 2022.[30][31]

In 2018, the company won SME National Business Awards in High Growth Business of the Year.[32]

In 2019, Speechmatics won 2019 Queen's Award for Enterprise in Innovation category.[33][34]

References

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  1. ^ Clawson, Trevor. "Finding A Voice - Can A UK Startup Compete With IT's Heavy Hitters In The Speech Recognition Market". Forbes. 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. ^ Cooper, Lanna. "Shaping the future of speech recognition". Startups Magazine. Retrieved 22 March 2022.
  4. ^ "Speechmatics pushes forward recognition of accented English". TechCrunch. Retrieved 22 March 2022.
  5. ^ Turner, Brian (29 September 2021). "Best speech-to-text software in 2022: Free, paid and online voice recognition apps and services". TechRadar India. Retrieved 22 March 2022.
  6. ^ Robinson, Tony; Fallside, Frank (July 1991). "A recurrent error propagation network speech recognition system". Computer Speech and Language. 5 (3): 259–274. doi:10.1016/0885-2308(91)90010-N.
  7. ^ Robinson, Tony (1996). "The Use of Recurrent Neural Networks in Continuous Speech Recognition". Automatic Speech and Speaker Recognition. The Kluwer International Series in Engineering and Computer Science. Vol. 355. pp. 233–258. CiteSeerX 10.1.1.364.7237. doi:10.1007/978-1-4613-1367-0_10. ISBN 978-1-4612-8590-8.
  8. ^ Wakefield, Jane (14 March 2008). "Speech recognition moves to text". BBC News. Retrieved 24 August 2020.
  9. ^ Robinson, Tony (September 1993). "A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project". Third European Conference on Speech Communication and Technology. 1: 1941–1944. Retrieved 17 May 2018.
  10. ^ Chelba, Ciprian; Mikolov, Tomas (March 2014). "One billion word benchmark for measuring progress in statistical language modeling". Interspeech. arXiv:1312.3005. Bibcode:2013arXiv1312.3005C.
  11. ^ Orlowski, Andrew. "Total recog: British AI makes universal speech breakthrough". The Register. Situation Publishing. Retrieved 17 May 2018.
  12. ^ 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.
  13. ^ "Speechmatics Improves Language Recognition Accuracy with Next Generation Update". audioXpress. Retrieved 22 March 2022.
  14. ^ "Speechmatics raises £6.35m Series A". UK Tech News. 21 October 2019. Retrieved 22 March 2022.
  15. ^ "Speechmatics' Queen's Award honours translation at its best". Cambridge Independent. 25 September 2019. Retrieved 22 March 2022.
  16. ^ "Eight Cambridge life science and technology companies win Queen's Awards | Business Weekly | Technology News | Business news | Cambridge and the East of England". www.businessweekly.co.uk. Retrieved 22 March 2022.
  17. ^ "Live Chennai: Speechmatics adds Chennai office as part of global expansion plans, Speechmatics, Speech Therapy, Second International Office in Chennai, Hive Collaborative Workspaces". www.livechennai.com. Retrieved 22 March 2022.
  18. ^ Ohr, Thomas (21 October 2019). "Cambridge-based Speechmatics raises €7.4 million for the global expansion of its speech recognition technology". EU-Startups.
  19. ^ Team, EBM ADMIN (24 March 2021). "Speechmatics launches on the Microsoft Azure Marketplace to offer any-context speech recognition technology at scale". European Business Magazine. Retrieved 4 April 2022.
  20. ^ McFarl, Alex (10 December 2021). "Speechmatics Partners With Personal.ai to Capture Voice Memories". Unite.AI. Retrieved 4 April 2022.
  21. ^ Shenwai, Tanushree (15 March 2023). "Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices". MarkTechPost. Retrieved 23 August 2024.
  22. ^ "Speechmatics Introduces Flow API for Advanced Speech Interactions". audioXpress. 25 July 2024. Retrieved 23 August 2024.
  23. ^ "Speechmatics Launches Global English, an Accent-agnostic Language Pack for Speech-to-text Transcription". www.bloomberg.com. 20 February 2018. Retrieved 22 March 2022.
  24. ^ Turner, Brian (29 September 2021). "Best speech-to-text software in 2022: Free, paid and online voice recognition apps and services". TechRadar. Retrieved 22 March 2022.
  25. ^ "Speechmatics launches industry-first Global Spanish language pack for automatic speech-to-text transcription at scale | Cambridge Network". www.cambridgenetwork.co.uk. Retrieved 22 March 2022.
  26. ^ Coldewey, Devin. "Speechmatics pushes forward recognition of accented English". TechCrunch. Retrieved 22 March 2022.
  27. ^ McFarl, Alex (26 October 2021). "Speechmatics Launches Autonomous Speech Recognition Software". Unite.AI. Retrieved 22 March 2022.
  28. ^ "How Speechmatics is leading the way in tackling AI bias". Information Age. 28 October 2021. Retrieved 22 March 2022.
  29. ^ Burt, Chris (27 October 2021). "Speechmatics says dramatic speech recognition bias reduced with unlabelled training data | Biometric Update". www.biometricupdate.com. Retrieved 22 March 2022.
  30. ^ "FT 1000: the sixth annual list of Europe's fastest-growing companies". 1 March 2022. Retrieved 4 April 2022.
  31. ^ Smith, Ian (1 March 2019). "The FT 1000: third annual list of Europe's fastest-growing companies". Financial Times. Retrieved 4 April 2022.
  32. ^ "City successes at SME national awards 2018". Cambridge Independent. 19 December 2018. Retrieved 4 April 2022.
  33. ^ "Speechmatics recognised with prestigious Queen's Award | Cambridge Network". www.cambridgenetwork.co.uk. Retrieved 4 April 2022.
  34. ^ "Cambridge Independent: Speechmatics' Queen's Award honours innovation at its best - News & insight". Cambridge Judge Business School. 18 September 2019. Retrieved 4 April 2022.
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