Euclidean distances between acoustic neighbor embeddings are interpreted as phonetic similarity through a Bayes-error and Gaussian-isotropy approximation, with four validation experiments.
Fixed-dimensional acoustic embeddings of variable-length segments in low-resource set- tings,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Theoretical Framework for Acoustic Neighbor Embeddings
Euclidean distances between acoustic neighbor embeddings are interpreted as phonetic similarity through a Bayes-error and Gaussian-isotropy approximation, with four validation experiments.