AI RESEARCH
Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
arXiv CS.AI
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ArXi:2603.21078v1 Announce Type: cross This study proposes a segmental-level prosodic probing framework to evaluate neural TTS models' ability to reproduce consonant-induced f0 perturbation, a fine-grained segmental-prosodic effect that reflects local articulatory mechanisms. We compare synthetic and natural speech realizations for thousands of words, stratified by lexical frequency, using Tacotron 2 and FastSpeech 2 trained on the same speech corpus (LJ Speech). These controlled analyses are then complemented by a large-scale evaluation spanning multiple advanced TTS systems.