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Found 11 papers, 4 papers with code
Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks
Studies have shown that in noisy acoustic environments, providing binaural signals to the user of an assistive listening device may improve speech intelligibility and spatial awareness.
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification
Experiment 1 also investigates aleatoric uncertainties and shows the model on both $\Phi$ and $\Psi$ has mean entropy 0. 927~bits (out of 4~bits) for correct predictions compared to 1. 896~bits for incorrect predictions which, along with entropy histogram shapes, shows the model helpfully indicates where it is uncertain.
Subspace Hybrid MVDR Beamforming for Augmented Hearing
(i) The first stage is a hybrid beamformer based on a dictionary of weights corresponding to a set of noise field models.
Dual input neural networks for positional sound source localization
In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output.
Long-term Conversation Analysis: Exploring Utility and Privacy
The analysis of conversations recorded in everyday life requires privacy protection.
Two-Stage Voice Anonymization for Enhanced Privacy
In recent years, the need for privacy preservation when manipulating or storing personal data, including speech , has become a major issue.
Subspace Hybrid Beamforming for Head-worn Microphone Arrays
A two-stage multi-channel speech enhancement method is proposed which consists of a novel adaptive beamformer, Hybrid Minimum Variance Distortionless Response (MVDR), Isotropic-MVDR (Iso), and a novel multi-channel spectral Principal Components Analysis (PCA) denoising.
Relative Acoustic Features for Distance Estimation in Smart-Homes
Any audio recording encapsulates the unique fingerprint of the associated acoustic environment, namely the background noise and reverberation.
Binaural Speech Enhancement Using STOI-Optimal Masks
STOI-optimal masking has been previously proposed and developed for single-channel speech enhancement.
Spatial Processing Front-End For Distant ASR Exploiting Self-Attention Channel Combinator
We present a novel multi-channel front-end based on channel shortening with theWeighted Prediction Error (WPE) method followed by a fixed MVDR beamformer used in combination with a recently proposed self-attention-based channel combination (SACC) scheme, for tackling the distant ASR problem.
Data Augmentation of Room Classifiers using Generative Adversarial Networks
A representation of acoustic environments is proposed, which is used to train the GANs.
Audio and Speech Processing Sound
