Cycle-consistent generative adversarial networks have been widely used i...
Most stuttering detection and classification research has viewed stutter...
We study the foundations of variational inference, which frames posterio...
This work adapts two recent architectures of generative models and evalu...
We analyze the impact of speaker adaptation in end-to-end architectures ...
Specially adapted speech recognition models are necessary to handle stut...
Current findings show that pre-trained wav2vec 2.0 models can be success...
The detection of pathologies from speech features is usually defined as ...
This work aims to automatically evaluate whether the language developmen...
This paper empirically investigates the influence of different data spli...
Vocal fatigue refers to the feeling of tiredness and weakness of voice d...
Stuttering is a varied speech disorder that harms an individual's
commun...
We present initial limit Datalog, a new extensible class of constrained ...
We study the differential properties of higher-order statistical
probabi...
We present a simple resolution proof system for higher-order constrained...