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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 enhancement



Leading the industry in speech technology
Nuance’s speech enhancement group in Ulm, Germany, has been a research leader in the field of speech and audio signal processing for over 15 years. The team provides custom-tailored solutions for robust speech recognition and enhanced speech communication across many platforms and in a variety of environments. Our core research competencies include:

  • Single-microphone noise reduction approaches
  • Acoustic echo cancellation for voice user interfaces and telecommunication
  • Cutting-edge spatial filtering techniques for beam forming and interference cancellation

Using speech to enhance user-experience in other industries
Our research also encompasses more diverse speech enhancement topics such as speech reconstruction, bandwidth extension, dynamic signal mixing, or adaptive equalization. These efforts have resulted in an integrated speech enhancement front-end, which is deployed in various automotive, home, and mobile applications.
Our technology supports speech interaction with virtual personal assistants, even in the most challenging acoustic environments. As a leading expert for automotive speech enhancement, we also provide solutions for high-quality hands-free telephony as well as systems to improve in-car communication between front and rear passengers in large sedans and vans.

Explore recent publications by Nuance Speech Enhancement researchers.



Selected articles

Signal processing for in-car communication systems

Due to a large amount of background noise the communication within a car driving at high or even moderate speed is often difficult. This is

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Mehrkanalige Systeme zur Geräuschunterdrückung für Sprachanwendungen unter Berücksichtigung von Mikrofoneigenschaften
Noise suppression for automotive applications Based on directional information

In noise suppression systems for automotive applications the useof adaptive beamformers has proven to be of great potential. Nevertheless,in diffuse noise fields the amount of

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Robust Pitch Tracking in the Car Environment

In this paper, we compare four different pitch tracking algorithms – autocorrelation, cepstrum, harmonic product spectrum, and a new method based on the modulation spectrum

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Grundfrequenzbestimmung aus dem Modulationsspektrum
First-order differential microphone arrays for automotive applications

Differential microphone arrays promise high directional gain with compact arrangements. However, they also come with the problem that even small deviations in microphone properties can

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Absolute Perceived Loudness of Speech

A number of speech samples recorded with different amplifier gain are subjected to a psychoacoustic loudness model developed for this project. For this, the recordings are normalized

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