A new Apple research paper defines a probabilistic method for interpreting distances between acoustic neighbor embeddings. This framework quantifies phonetic similarity between variable-width audio and text in fixed-dimensional spaces. It proves uniform cluster-wise isotropy through empirical evidence. Practitioners can now apply these embeddings in a more principled, mathematically grounded manner.