Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT

Explicit prosodic cues may help automatic speech recognition (ASR) of spontaneous speech, but auxiliary representations typically require additional trainable components, making it unclear whether gains come from the auxiliary information or the fusion mechanism. We address this using a frozen HuBER