7 citations · 21 across the 4 of their papers we have counts for
4 papers
Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues
Akira Taniguchi, Hiroaki Murakami, Ryo Ozaki +1
Human infants acquire their verbal lexicon with minimal prior knowledge of language based on the statistical properties of phonological distributions and the co-occurrence of other…
StarGAN-based Emotional Voice Conversion for Japanese Phrases
Asuka Moritani, Ryo Ozaki, Shoki Sakamoto +2
This paper shows that StarGAN-VC, a spectral envelope transformation method for non-parallel many-to-many voice conversion (VC), is capable of emotional VC (EVC). Although StarGAN-…
Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
Yasuaki Okuda, Ryo Ozaki, Tadahiro Taniguchi
Infants acquire words and phonemes from unsegmented speech signals using segmentation cues, such as distributional, prosodic, and co-occurrence cues. Many pre-existing computationa…
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias
Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi
This paper describes a new unsupervised machine learning method for simultaneous phoneme and word discovery from multiple speakers. Human infants can acquire knowledge of phonemes…