PRESS RELEASE: 31 March 2020 – Milton Keynes, UK – Aculab, a global provider of API-driven advanced speech and signal processing technologies for telecoms-related, automated interactive systems, is pleased to announce its partnership with a leading UK contact-centre-as-a-service (CCaaS) provider.
Catch up with the latest news
PRESS RELEASE: 30 March 2020 – Milton Keynes, UK – Aculab, a global provider of API-driven advanced speech and signal processing technologies, is pleased to announce the latest version of its voice biometric system, VoiSentry.
This release introduces a speaker identification capability that can be used in applications ranging from fraud and nuisance call interception to frictionless access. VoiSentry’s presentation attack detection (PAD) functionality has also been extended: during verification, VoiSentry categorises any suspected presentation attack according to the technology employed (along the lines of the FIDO specifications).
The Call & Contact Centre Expo at the ExCeL in London has been rescheduled from March to September 2020. This is due to the increase in international travel restrictions related to the COVID-19 Coronavirus.
The event will now take place on Tuesday the 15th and Wednesday the 16th of September. We will be exhibiting at stand 2274, and you could be there too!
Click here and get your free tickets today.
09 January 2019, Milton Keynes, UK – IPI, the digital contact centre specialist, announced it is partnering with Aculab, a leading provider of telephony hardware and software.The collaboration will integrate Aculab’s VoiSentry voice biometric system into IPI’s speech recognition applications to reduce the friction experienced during the identity and verification process in the contact centre.
27 June 2019, Milton Keynes, UK – Aculab, a global provider of advanced speech technologies and development APIs, is pleased to announce the award of full WRoCAH PhD funding for a collaborative project with the Department of Language and Linguistic Science at the University of York entitled Towards linguistically-informed automatic speaker recognition.