405 citations · 659 across the 15 of their papers we have counts for
7 papers · 1 filter
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise
Tuomo Raitio, Petko Petkov, Jiangchuan Li +3
We present a neural text-to-speech (TTS) method that models natural vocal effort variation to improve the intelligibility of synthetic speech in the presence of noise. The method c…
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),…
Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions
Dipjyoti Paul, Yannis Pantazis, Yannis Stylianou
Recent advancements in deep learning led to human-level performance in single-speaker speech synthesis. However, there are still limitations in terms of speech quality when general…
Audiovisual Speech Synthesis using Tacotron2
Ahmed Hussen Abdelaziz, Anushree Prasanna Kumar, Chloe Seivwright +4
Audiovisual speech synthesis is the problem of synthesizing a talking face while maximizing the coherency of the acoustic and visual speech. In this paper, we propose and compare t…
A non-causal FFTNet architecture for speech enhancement
Muhammed PV Shifas, Nagaraj Adiga, Vassilis Tsiaras +1
In this paper, we suggest a new parallel, non-causal and shallow waveform domain architecture for speech enhancement based on FFTNet, a neural network for generating high quality a…
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…
Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra
Thomas Drugman, Yannis Stylianou
Maximum Voiced Frequency (MVF) is used in various speech models as the spectral boundary separating periodic and aperiodic components during the production of voiced sounds. Recent…