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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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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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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Recent articles

Discriminative Training of Deep Regression Networks for Artificial Bandwidth Extension

Artificial bandwidth extension reconstructs a 16 kHz wideband signal from a given 8 kHz narrowband signal. Stateof-the-art approaches use regression deep neural networks (DNNs) for

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Feature Selection for DNN-based Bandwidth Extension

Articial bandwidth extension (BWE) is still an important topic, especially in the automotive domain where consumers experience a dramatic degradation in voice quality when a

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Evaluation of Different Excitation Generation Algorithms for Artificial Bandwidth Extension

Artificial bandwidth extension (ABWE) for speech signals is still an important topic in mobile telephony, especially when a 16 kHz wideband (WB) call suddenly falls

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Rating Nonlinear Behavior in Acoustic Echo Control Scenarios

Nonlinear behavior in the amplier of embedded audio systems remains a challenge in acoustic echo control. Echo cancellation or suppression methods are usually evaluated using

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Combined Linear and Nonlinear Residual Echo Suppression Using a Deficient Distortion Model — A Proof of Concept

Acoustic echo control is still challenged with finding computationally efficient and accurate methods for handling nonlinear echo components introduced by cheap loudspeaker components and high

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Approximation of a Nonlinear Distortion Function for Combined Linear and Nonlinear Residual Echo Suppression

This work shows a novel method to suppress linear and nonlinear residual echo components after application of a linear echo canceler. The main idea is

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Breaking news

Charlie Ortiz featured on CNET’s list of Most Influential Latinos in Tech

Charlie Ortiz, head of Nuance’s Sunnyvale based AI lab, is #15 on CNET’s list of most influentual latinos in the tech industry. He was also featured there last year.

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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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