Robohub.org
 

Apple buys UK speech recognition firm Novauris to help improve Siri


by
04 April 2014



share this:

 

Voice recognition is a timely science not only because of all the human-automobile communication offered by car companies, but also by smart devices and their growing use of voice interfaces. It won’t be long until we operate many of our appliances by voice command.

Most present-day offerings require you to follow a menu, a convoluted non-intuitive form of communication. Few have the technology to enable consumers to ask for information quickly, easily, and without needing time-consuming complicated dialogues – but many companies are working on solving these problems.

Apple and Siri are at the forefront of handling free form conversational speech – and Apple’s acquisition of Novauris, a UK speech recognition company – will help in that pursuit. Terms and amount paid for the transaction – which occurred late last year – are unknown, but Novauris’ co-founder Melvyn Hunt confirmed the sale to a TechCrunch analyst.

Talent in this field is scarce and many companies have chosen to acquire that talent – and their software, patents and intellectual property (IP) libraries – for their various voice recognition quests.

These are a few of the companies developing and offering all sorts of consumer conversation recognition systems and context understanding systems from which instructions and responses are developed:

  • Nuance (which recently acquired Vlingo)
  • Evi by TrueKnowledge (which was acquired by Amazon)
  • Alfred (which was acquired and then shut down by Google)
  • Cue (which was acquired and then shut down by Apple)
  • Novauris Technologies (acquired by Apple)
  • Siri (which uses Apple and Nuance technology)
  • Okay Google by Google

Notice the pattern? Apple, Google, Amazon and Nuance appear to be hot on the trail of being able to capture conversational instructions, convert the words into context, determine the instructions required, and then process those instructions. Speed is helped by experience, and Apple, Google, Amazon and Nuance are gathering that experience and processing hundreds of millions of spoken words every day.

It really won’t be long until you and your refrigerator are having a meaningful conversation.



tags: , ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video

AI-powered robots help tackle Europe’s growing e-waste problem

  12 May 2025
EU-funded researchers have developed adaptable robots that could transform the way we recycle electronic waste, benefiting both the environment and the economy.

Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence