Speech enhancement and noise PSD estimation
Contact: Richard Hendriks
As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere and at any time without user intervention. However, the presence of acoustical disturbances limits the use of these applications, degrades their performance, or causes the user difficulties in understanding the conversation or appreciating the device.
A common way to reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement.
Items under this topic
Joint Alternating Least-Squares-Based Microphone Array Parameter Estimation for A Single-Source Reverberant and Noisy Acoustic ScenarioThis algorithm can be used to jointly estimate the source’s RTF, and the PSDs of the early reflections, the late reverberation and the ambient noise at low complexity.Software, Feb 2025 |
Multimicrophone Signal Parameter Estimation in A Multi-Source Noisy Reverberant ScenarioThis algorithm can be used in the more general scenarios where multiple sources, late reverberation and noise exist concurrently. The algorithm can be used to estimate the relative transfer functions (RTFs) of the point sources (both target and interferers) and individual power spectral densities (PSDs) of the sources and the late reverberation.Software, Feb 2025 |
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.Software, Dec 2019 |
Distributed block-diagonal linearly constrained beamformerSoftware, Apr 2019 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)Software, Apr 2019 |
Algorithm for Noise reduction for speech enhancementDFT-based single channel noise reductionSoftware, Jan 2013 |
Unbiased MMSE-based Noise Power EstimatorSoftware, Oct 2011 |
MMSE-based noise PSD trackerSoftware, Mar 2010 |
GenGam Log MMSEToolbox for log-spectral magnitude MMSE estimators of DFT coefficients under super-Gaussian densitiesSoftware, Jan 2009 |
GenGamToolbox for MMSE estimators of DFT coefficients under the generalized Gamma densitySoftware, Jan 2008 |