Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery

Understand

Infants acquire words and phonemes from unsegmented speech signals using segmentation cues, such as distributional, prosodic, and co-occurrence cues.

• Many pre-existing computational models that represent the process tend to focus on distributional or prosodic cues.
• This paper proposes a nonparametric Bayesian probabilistic generative model called the prosodic hierarchical Dirichlet process-hidden language model (Prosodic HDP-HLM).
• Prosodic HDP-HLM, an extension of HDP-HLM, considers both prosodic and distributional cues within a single integrative generative model.