Search Results for author:
Found 15 papers, 8 papers with code
Incomplete resection of the icEEG seizure onset zone is not associated with post-surgical outcomes
Retrospective analysis of icEEG recordings from 63 subjects (735 seizures) identified seizure onset regions through visual inspection and algorithmic delineation.
NUBO: A Transparent Python Package for Bayesian Optimisation
NUBO, short for Newcastle University Bayesian Optimisation, is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions, such as physical experiments and computer simulators.
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics
To illustrate how these findings can be used to inform a Bayesian optimization setup tailored to a specific problem, two simulations in the area of computational fluid dynamics are optimized, giving evidence that suitable solutions can be found in a small number of evaluations of the objective function for complex, real problems.
A library of quantitative markers of seizure severity
In individual patients, 71% had a moderate to large difference (ranksum r > 0. 3) between focal and subclinical seizures in three or more markers.
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
We present an end-to-end deep network model that performs meeting diarization from single-channel audio recordings.
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
We introduce VoiceFilter-Lite, a single-channel source separation model that runs on the device to preserve only the speech signals from a target user, as part of a streaming speech recognition system.
Unsupervised Sound Separation Using Mixture Invariant Training
In such supervised approaches, a model is trained to predict the component sources from synthetic mixtures created by adding up isolated ground-truth sources.
Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement
This work introduces sequential neural beamforming, which alternates between neural network based spectral separation and beamforming based spatial separation.
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Furthermore, the only previous approaches that apply mixture consistency use real-valued masks; mixture consistency has been ignored for complex-valued masks.
Sound Audio and Speech Processing
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
In this paper, we present a novel system that separates the voice of a target speaker from multi-speaker signals, by making use of a reference signal from the target speaker.
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies
Speech activity detection (or endpointing) is an important processing step for applications such as speech recognition, language identification and speaker diarization.
Sound Audio and Speech Processing
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
Solving this task using only audio as input is extremely challenging and does not provide an association of the separated speech signals with speakers in the video.
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech
Developers of text-to-speech synthesizers (TTS) often make use of human raters to assess the quality of synthesized speech.
CNN Architectures for Large-Scale Audio Classification
Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.
