Inventing a more human conversation with technology

Nuance’s R&D team of talented scientists, linguists and engineers pioneers innovation in human-machine intelligence and communication, resulting in groundbreaking strides in voice, language understanding and AI that redefine how people and technology co-exist.

Research areas

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Text to speech

Text-to-Speech (TTS) is a corner-stone Nuance technology, with a long research history combining ideas integrated from several teams and new hires

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Speech enhancement

Speech enhancement is focused on evolving the technologies used in voice-driven interfaces for an enhanced user experience and greater application flexibility for manufacturers

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Biometrics

Voice biometrics enables authentication through processing natural speech patterns

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Speech recognition

Turning speech into text is at the heart of an amazing variety of products and services that enrich peoples’ lives

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Natural language & AI

Natural Language Processing and Artificial Intelligence technologies enable users to communicate with the digital technology they use everyday, whether for work or recreation

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Recent articles

EXISTStential aspects of SPARQL (poster)

The SPARQL 1.1 Query Language permits patterns inside FILTER expressions using the EXISTS construct, specified by using substitution. Substitution destroys some of the aspects of

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EXISTStential aspects of SPARQL

The SPARQL 1.1 Query Language permits patterns inside FILTER expressions using the EXISTS construct, specified by using substitution. Substitution destroys some of the aspects of

Read more

Diverging views of SHACL

SHACL is a new recommendation being developed by the W3C Data Shapes Working Group. SHACL is designed to address the need for a declarative language

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Kurtosis-Controlled Babble Noise Suppression

When a speech application is employed in a crowded environment, the user’s voice superposes with many interfering voices. This babble noise is a challenge for

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Voice Activity Detection Based on Modulation-Phase Differences

Many speech processing algorithms rely on voice activity detection (VAD) that separates speech from noise. For this task, several features have been introduced that employ

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Building Predicates

This book provides a comprehensive analysis of the processes involved in word formation and the morphosyntax of predication that will appeal to anyone interested in

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Breaking news

Pablo Peso receives the DREAMS Best Paper Award

Pablo Peso, a PhD student in the DREAMS research programme at Nuance has received the DREAMS Best Paper Award

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Upcoming event

EACL 2017
Valencia, Spain
- April 7

Nuance is a sponsor of EACL 2017

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Featured researcher

Hendrik Zender
Hendrik Zender

Hendrik Zender is a Senior Research Engineer in the Dialog Optimization team. His research interests are in the areas of natural language and dialog processing, AI...

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Seen on What’s next

Nuance Research Conference 2017: Reflections on Deep Learning and AI innovation

Every year, I look forward to our annual Nuance Research Conference (NRC), an opportunity for our global research organization to come together to collaborate, converse, and drive forward Nuance’s vision for designing and building intelligent, conversational solutions. This year, Deep Learning and AI took center stage along with sessions focused on advancing innovation in ASR, […]

The post Nuance Research Conference 2017: Reflections on Deep Learning and AI innovation appeared first on What’s next.