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breaking Cambridge tech enables real Get daily updates directly to your inbox+ SubscribeThank you for subscribing!Could not subscribe, try again laterInvalid EmailA real time, continuous speech recognition system has been launched by Cambridge's Speechmatics.
The company says the system works in many languages, and provides levels of accuracy and speed usually only found on expensive cloud based services.It is hoped the technology can provide device manufacturers and enterprises with the highest level of accuracy and speed for cloud based or fully embedded services."This is the second big breakthrough we have had within the last nine months," said Speechmatics founder and chief technology office Dr Tony Robinson."First, we completed the first version of our Auto Auto system, which we launched last summer. This was a massive step forward for speech science, as for the first time we could build new languages automatically with 1 2 orders less data and in a matter of weeks."For example, we built Japanese in a few weeks even though no one in past season kate spade bags the team spoke Japanese. We're delighted to continue making advances in speech recognition technology, building a strong R team and making our achievements globally available."Previous iterations of speech recognition technology have been limited to post processing after an interaction or to the use of short phrases it was near impossible for large, continuous systems to process fast, accurate transcriptions at scale and over long time periods.Speechmatics continuous real time system has a large 250,000 word vocabulary for each language, optimised for speed and accuracy when deployed on any device. This novel application of RNN's (a form of deep neural network) in the system allows for it to scale to work for any application, for any use case, in any language from running on a mobile phone to large server farms.Users are becoming increasingly anxious about data security Speechmatics' fully embeddable, real time system enables the data to be held and processed by the user, running natively on a device, rather than by the cloud. The offline capability takes us one step closer to using speech recognition technology anywhere, at any time, by anyone.The technology builds on Dr Robinson's 30 years of experience in developing speech technologies and writing multiple decoders having already successfully created several speech where to buy kate spade bags tech companies. In 2016, the Speechmatics R team took a step back from the initial focus on developing a novel way to scale RNN buy kate spade wallet online language models and completely re designed the Speechmatics system with the aim to achieve the same levels of accuracy as the existing batch, cloud based system. Today, the real time system achieves the same level of accuracy across all languages due to the innovative use of neural networks.The technology is available on premises, cloud based or embedded in a device enabling immediate, actionable intelligence to be gathered efficiently. The continuous real time speech recognition system, opens a vast number of use cases in multiple markets from instant actionable intelligence in call centres or compliance settings to live sub titling. From offline email dictation on mobile phones or extending home entertainments from voice commands to true voice interaction.Tech heavyweight Hermann Hauser is an investor in Speechmatics through his fund, Amadeus Capital Partners. He added: "We are seeing a shift in the tech industry as we move away from touchpad technology towards speech as the main form of communication. This shift is creating a need for businesses to gain immediate, actionable intelligence through highly accurate speech recognition technology, in many languages. There is strong demand in the market for Speechmatics, as it will allow businesses that work on an international scale to not only ensure speech is transcribed correctly, but also to improve everyday user experiences.
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