10 citations · 27 across the 14 of their papers we have counts for
4 papers · 1 filter
Comprehensive evaluation of statistical speech waveform synthesis
Thomas Merritt, Bartosz Putrycz, Adam Nadolski +10
Statistical TTS systems that directly predict the speech waveform have recently reported improvements in synthesis quality. This investigation evaluates Amazon's statistical speech…
Effect of data reduction on sequence-to-sequence neural TTS
Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba +4
Recent speech synthesis systems based on sampling from autoregressive neural networks models can generate speech almost undistinguishable from human recordings. However, these mode…
Towards achieving robust universal neural vocoding
Jaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre +5
This paper explores the potential universality of neural vocoders. We train a WaveRNN-based vocoder on 74 speakers coming from 17 languages. This vocoder is shown to be capable of…
Analysing Shortcomings of Statistical Parametric Speech Synthesis
Gustav Eje Henter, Simon King, Thomas Merritt +1
Output from statistical parametric speech synthesis (SPSS) remains noticeably worse than natural speech recordings in terms of quality, naturalness, speaker similarity, and intelli…