7 accepted papers
This paper introduces a model adaptation approach for a speaker-dependent dysarthric speech recognition system. The dysarthria we focus on in this paper is caused by athetoid cerebral palsy, which causes involuntary muscle movements in those with the disease. For this reason, the dysarthric people's…
We present in this paper an end-to-end automatic speech recognition (ASR) system for a person with an articulation disorder resulting from athetoid cerebral palsy. In the case of a person with this type of articulation disorder, the speech style is quite different from that of a physically unimpaire…
Many recent advances in computer vision are the results of a healthy competition among researchers on high quality, task-specific, benchmarks. After a decade of active research, zero-shot learning (ZSL) models accuracy on the Imagenet benchmark remains far too low to be considered for practical obje…
Voice conversion (VC) is a technique where only speaker-specific information in source speech is converted while preserving the associated phonological information. Nonnegative Matrix Factorization (NMF)-based VC has been researched because of the natural-sounding voice it produces compared with con…
This paper presents a novel probabilistic model that represents a joint probability of two visible variables with a deep architecture, called a deep relational model (DRM). The model stacks several layers from one visible layer on to another visible layer, sandwiching hidden layers between them. As…
Voice conversion (VC) is being widely researched in the field of speech processing because of increased interest in using such processing in applications such as personalized Text-To-Speech systems. A VC method using Non-negative Matrix Factorization (NMF) has been researched because of its natural…
Voice conversion (VC) is being widely researched in the field of speech processing because of increased interest in using such processing in applications such as personalized Text-To-Speech systems. We present in this paper an exemplar-based VC method us- ing Non-negative Matrix Factorization (NMF),…