Dissecting Sensitivity to Training Language in Self-Supervised Speech Learning Using Neural Audio Codec Tokens

Daigo Takizawa, Tomohiko Nakamura, Samuele Cornell +3

The paper investigates how the language used to train neural audio codecs and self‑supervised speech models affects performance, finding that codec training language has little imp…