A somatosensory pathway is added to the Predictive Articulatory speech synthesis Utilizing
Lexical Embeddings (PAULE) model. The different choices that lead to the specific …

We describe an inference principle for speech resynthesis using the vocal tract simulator
VocalTractLab (VTL). Our method generates smooth and plausible motor trajectories …

The Predictive Articulatory speech synthesis Utilizing Lexical Embeddings (PAULE) model is
a new control model for the VocalTractLab (VTL)[15] speech synthesizer, a simulator of the …

An articulatory speech sythesiser is presented that extends the Recurrent Gradient-based
Motor Inference Model for Speech Resynthesis [1] with a classifier optimizing for semantic …

Speech is the most common mode of human communication. As shown in Figure 1.1, the
process of communication involves three main events: the production of speech, the …

Comparing simulated articulatory movements to their real counterparts is critical in
establishing some trust in the findings produced by a simulator and the simulator's …

One of the tasks PAULE [1, 2] solves is finding suitable control parameter (cp-) trajectories
for a given target acoustic. These cp-trajectories can be used to synthesize speech with the …

With this work we show how speech production can be modelled on the word level without
any symbolic units, neither on the acoustic side like phonemes, nor on the semantic side like …

The articubench benchmark is a collection of tasks, datasets and scores or metrics in the
articulatory speech synthesis domain. The benchmark allows the comparison of different …

Konstantin Sering, Paul Schmidt-Barbo, Sebastian Otte, Martin V. Butz, & Harald Baayen
Overview Methods Results Limitations Page 1 Recurrent Gradient-based Motor Inference for …