Amirhossein Ghanipour Amirhandeh

Beyond Quantization: Self-Supervised Speech Representation Learning via Masked Hilbert Envelope Prediction

Current self-supervised speech models typically avoid predicting raw time-domain waveforms directly because fast phase shifts cause instability. To bypass this, popular methods use vector-quantized codebooks, multi-stage clustering, or teacher networks, but these approaches can s...

Codec-Invariant Audio Watermarking via Hierarchical Residual Injection (Extended Abstract)

The rapid adoption of discrete neural audio codecs (e.g., EnCodec) in large language models necessitates codec-invariant speech watermarking to track synthetic data provenance. However, current continuous-domain paradigms inject payloads as surface-level waveform perturbations, w...