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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Biometrics

Voice biometrics enables authentication through processing natural speech patterns

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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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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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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 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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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

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

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

Tobias Wolff
Tobias Wolff

Tobias Wolff studied Electrical Engineering and Communications at Technische Universität Darmstadt (TUD), Germany. He received the Dipl.-Ing. degree in 2006 and the...

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Seen on What’s next

Dragon celebrates its 20th anniversary

On April 2, 1997 Dragon NaturallySpeaking was unveiled a groundbreaking solution that was light years ahead of speech technologies previously available. Dragon NaturallySpeaking was the first-ever continuous dictation product – capable of understanding about 100 words per minute. And while the product required training, the use of a headset and the need to be tethered […]

The post Dragon celebrates its 20th anniversary appeared first on What’s next.