6 citations · 12 across the 2 of their papers we have counts for
2 papers
eess.AS2021★ 6 cited
Training Speech Enhancement Systems with Noisy Speech Datasets
Koichi Saito, Stefan Uhlich, Giorgio Fabbro +1
Recently, deep neural network (DNN)-based speech enhancement (SE) systems have been used with great success. During training, such systems require clean speech data - ideally, in l…
eess.AS2020★ 6 cited
Speech Synthesis and Control Using Differentiable DSP
Giorgio Fabbro, Vladimir Golkov, Thomas Kemp +1
Modern text-to-speech systems are able to produce natural and high-quality speech, but speech contains factors of variation (e.g. pitch, rhythm, loudness, timbre)\ that text alone…