Python framework to extract features from speech
Toolkit to asses speech impairments in patients with neurological disorders
a Keras Python Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech
There are a lot of features that can be extracted from speech signals for different applications such as automatic speech recognition or speaker verification. However, for pathological speech processing there is a need to extract features about the …
A new software for modeling pathological speech signals is presented in this paper. The software is called NeuroSpeech. This software enables the analysis of pathological speech signals considering different speech dimensions: phonation, …