Spoofing-aware speaker verification (SASV) must confirm who is speaking and that the speech is genuine, but current systems gain one at the expense of the other. Modular cascades are accurate yet run two large self-supervised encoders, whereas end-to-end models are efficient but lose accuracy when a single embedding ha...
Aref Farhadipour, Srikanth R. Madikeri, Teodora Vuković et al.· 0 citations
Autoregressive text-to-speech (TTS) systems synthesize natural speech but, once trained, offer little control over speaking rate. We show that speaking rate can be steered at inference time, without retraining, by clamping a single decoder block's activation along a discovered speed axis. A decoder-block analysis recov...
Francesco Verdini, Antonis Asonitis, Aref Farhadipour et al.· arXiv.org· 0 citations
This work evaluates six human-rated corpora spanning the quality range from artifact-rich to defect-free TTS, evaluating each predictor on a pairwise task that asks whether the clip it scores higher is the clip listeners prefer, and subjects interpretable prosodic and signal-processing features to the same protocol.
Antonis Asonitis, Juan Pablo Zuluaga Gomez, Francesco Verdini et al.· 2 citations
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