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Michele Panariello

2 accepted papers

2024

Speaker Anonymization Using Neural Audio Codec Language Models

ICASSP 2024accepted

The vast majority of approaches to speaker anonymization involve the extraction of fundamental frequency estimates, linguistic features and a speaker embedding which is perturbed to obfuscate the speaker identity before an anonymized speech waveform is resynthesized using a vocoder. Recent work has…

Cited by 51SourceScholar
2023

StressID: a Multimodal Dataset for Stress Identification

NeurIPS 2023poster

StressID is a new dataset specifically designed for stress identification from unimodal and multimodal data. It contains videos of facial expressions, audio recordings, and physiological signals. The video and audio recordings are acquired using an RGB camera with an integrated microphone. The physi…