5 citations · 7 across the 3 of their papers we have counts for
3 papers
Evaluating the Intelligibility Benefits of Neural Speech Enrichment for Listeners with Normal Hearing and Hearing Impairment using the Greek Harvard Corpus
Muhammed PV Shifas, Anna Sfakianaki, Theognosia Chimona +1
In this work we evaluate a neural based speech intelligibility booster based on spectral shaping and dynamic range compression (SSDRC), referred to as WaveNet-based SSDRC (wSSDRC),…
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion
Dipjyoti Paul, Muhammed PV Shifas, Yannis Pantazis +1
The increased adoption of digital assistants makes text-to-speech (TTS) synthesis systems an indispensable feature of modern mobile devices. It is hence desirable to build a system…
A fully recurrent feature extraction for single channel speech enhancement
Muhammed PV Shifas, Santelli Claudio, Vassilis Tsiaras +1
Convolutional neural network (CNN) modules are widely being used to build high-end speech enhancement neural models. However, the feature extraction power of vanilla CNN modules ha…