Integrated acoustic echo and noise suppression in modulation domain. - E. P. Jayakumar; P. V. Muhammed Shifas; P. S. Sathidevi 001 (Int. J. Speech Technol., 2016)

Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model. - P. V. Muhammed Shifas; Vassilis Tsiaras; Yannis Stylianou (INTERSPEECH, 2018)

A Non-Causal FFTNet Architecture for Speech Enhancement. - P. V. Muhammed Shifas; Nagaraj Adiga; Vassilis Tsiaras; Yannis Stylianou (INTERSPEECH, 2019)

Enhancing Speech Intelligibility in Text-To-Speech Synthesis Using Speaking Style Conversion. - Dipjyoti Paul; P. V. Muhammed Shifas; Yannis Pantazis; Yannis Stylianou (INTERSPEECH, 2020)

A fully recurrent feature extraction for single channel speech enhancement. - P. V. Muhammed Shifas; Santelli Claudio; Yannis Stylianou (CoRR, 2020)

Evaluating the Intelligibility Benefits of Neural Speech Enrichment for Listeners with Normal Hearing and Hearing Impairment using the Greek Harvard Corpus. - P. V. Muhammed Shifas; Anna Sfakianaki; Theognosia Chimona; Yannis Stylianou (CoRR, 2020)

Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise. - Tuomo Raitio; Petko Petkov; Jiangchuan Li; P. V. Muhammed Shifas; Andrea Davis; Yannis Stylianou (INTERSPEECH, 2022)

End-to-End Neural Based Modification of Noisy Speech for Speech-in-Noise Intelligibility Improvement. - P. V. Muhammed Shifas; Catalin Zorila; Yannis Stylianou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)