ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Evaluating parameters for mapping adult vowels to imitative babbling

Ilana Heintz, Mary Beckman, Eric Fosler-Lussier, Lucie Ménard

We design a neural network model of first language acquisition to explore the relationship between child and adult speech sounds. The model learns simple vowel categories using a produce-andperceive babbling algorithm in addition to listening to ambient speech. The model is similar to that of Westermann & Miranda (2004), but adds a dynamic aspect in that it adapts in both the articulatory and acoustic domains to changes in the child’s speech patterns. The training data is designed to replicate infant speech sounds and articulatory configurations. By exploring a range of articulatory and acoustic dimensions, we see how the child might learn to draw correspondences between his or her own speech and that of a caretaker, whose productions are quite different from the child’s. We also design an imitation evaluation paradigm that gives insight into the strengths and weaknesses of the model.

doi: 10.21437/Interspeech.2009-238

Cite as: Heintz, I., Beckman, M., Fosler-Lussier, E., Ménard, L. (2009) Evaluating parameters for mapping adult vowels to imitative babbling. Proc. Interspeech 2009, 688-691, doi: 10.21437/Interspeech.2009-238

  author={Ilana Heintz and Mary Beckman and Eric Fosler-Lussier and Lucie Ménard},
  title={{Evaluating parameters for mapping adult vowels to imitative babbling}},
  booktitle={Proc. Interspeech 2009},