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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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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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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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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Biometrics

Voice biometrics enables authentication through processing natural speech patterns

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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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Detection of Voiced Speech and Pitch Estimation for Applications with Low Spectral Resolution

Speech enhancement algorithms are employed in many applications, such as hands-free telephones, or speech recognizers, to recover a speech signal that is recorded in a

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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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Breaking news

Nuance and DFKI extend partnership

Nuance and DFKI announced an extension of their partnership recently. Among other things Nuance Research now has an office on the DFKI campus in Saarbrücken

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Upcoming event

ACL 2017
Vancouver
- August 4

Nuance is a sponsor of ACL 2017 and several Nuancers will be attending. Come and meet us there.

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Featured researcher

Peter Patel-Schneider
Peter Patel-Schneider

Peter Patel-Schneider is a Researcher in the Natural Language Understanding Lab. His research interest is in the area of Natural Language & AI. Currently, Peter i...

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Seen on What’s next

Beyond the algorithms: Shaping the future of the Automotive Assistant for autonomous cars

Conducting research on artificial intelligence (AI) and intelligent assistants is often discussed in the context of algorithms and deep learning – and of course data. However, we as researchers must also understand the environment in which this intelligence will operate. Only if you adapt the functionality to the context of use can your system be successful. […]

The post Beyond the algorithms: Shaping the future of the Automotive Assistant for autonomous cars appeared first on What’s next.