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Found 7 papers, 1 papers with code
Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport
Based on the similarity between the target speaker and the healthy/dysarthric source speakers, we then define the healthy/dysarthric score of the target speaker that we leverage to perform dysarthria detection.
EasyCall corpus: a dysarthric speech dataset
The corpus aims at providing a resource for the development of ASR-based assistive technologies for patients with dysarthria.
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Interestingly, MSDA-WJDOT provides a similarity score between the source and the target, i. e. between speakers in this case.
Audio-Visual Target Speaker Enhancement on Multi-Talker Environment using Event-Driven Cameras
In order to overcome this limitation, we propose the use of event-driven cameras and exploit compression, high temporal resolution and low latency, for low cost and low latency motion feature extraction, going towards online embedded audio-visual speech processing.
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-talker Single Channel Audio-Visual ASR
In this paper, we analyzed how audio-visual speech enhancement can help to perform the ASR task in a cocktail party scenario.
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.
Ranked #1 on
Speech Enhancement
on GRID corpus (mixed-speech)
Improving generalization of vocal tract feature reconstruction: from augmented acoustic inversion to articulatory feature reconstruction without articulatory data
We address the problem of reconstructing articulatory movements, given audio and/or phonetic labels.
