Speechmatics deliver a fully embeddable, large vocabulary, real-time speech recognition technology
Speechmatics, the Cambridge-based speech technology company, launches its real-time, fully embeddable, continuous speech recognition system in many languages – providing levels of accuracy and speed usually only found on expensive cloud-based services.
The technology plays an instrumental role in helping businesses overcome fundamental speech recognition challenges associated with existing large vocabulary, continuous systems. Typically – the faster the system, the lower the accuracy. Speech recognition technology has 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.
Through advances in deep neural networks used in acoustic and language models – Speechmatics have achieved this breakthrough by developing a real-time, speaker independent speech recognition technology, available in many languages. The ground-breaking technology provides device manufacturers and enterprises with the highest level of accuracy and speed for cloud-based or fully embedded services.
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 Tony Robinson’s (Founder and chief technology officer of Speechmatics) 30 years of experience in developing speech technologies and writing multiple decoders having already successfully created several speech-tech companies. In 2016, the Speechmatics R&D team took a step back from the initial focus on developing a novel way to scale RNN 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.
Dr Hermann Hauser, co-founder of Amadeus Capital Partners, investor in Speechmatics adds: “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.”
“This is the second big breakthrough we have had within the last 9 months. 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 the team spoke Japanese. We’re delighted to continue making advances in speech recognition technology, building a strong R&D team and making our achievements globally available.” comments Speechmatics Chief Technology Officer, Dr Tony Robinson.
A free trial demo is now available on the Speechmatics website. Speechmatics will also be demoing the embedded real-time system at MWC 2017, February 28th – March 2nd, Hall 7, stand 7C72.
Speechmatics is leading the way in exploring and harnessing the full potential of speech recognition technology and using the latest advances in deep learning.
Founded in 2006 Speechmatics draws on the technologies pioneered by Dr Tony Robinson during his PhD research into Recurrent Neural Networks in the 1980s and has developed new ways of using deep learning. These are combined with the very latest developments from academia and industry.
The automatic speech recognition system powers a wide range of different applications that all depend on converting speech to text as the initial step. Speechmatics has developed universal models that can be used in any use case without any further training. As a result, Speechmatics’ clients are using technology to improve their commercial value, ranging from data predictive analytics to language assessment or content discovery.
Speechmatics has a world class, international research R&D team comprising of multiple PhD researchers. Their unique approach to deep learning pushes the boundaries of what is possible in speech recognition, enabling faster, more accurate and more powerful communications in the digital age.
This technology enables businesses to get a better understanding of their customers and employees, allowing organisations to improve efficiency and daily processes, across many languages, and re-establish speech as the main form of human: machine interaction.
Speechmatics have recently been named a winner in the Deloitte 2016 Technology EMEA Fast 500. This award recognises the 500 fastest-growing technology companies across Europe, the Middle East and Africa (EMEA).
Amadeus Capital Partners
Amadeus Capital Partners is a global technology investor. Since 1997, the firm has backed more than 120 companies and raised over $1bn for investment.
With vast experience and a great network, Amadeus Capital’s team of investors and entrepreneurs share a passion for the transformative power of technology. We invest in consumer services, financial technology, artificial intelligence, cyber security, medical technology, digital health and digital media.
Early stage investments we’ve made include genomic research data collaboration platform Repositive, massively parallel simulation platform Improbable.io, Graphcore, innovators in intelligent microprocessors, and speech recognition company VocalIQ.
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