Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation

no code implementations • 23 Dec 2017 • Adriana Guevara-Rukoz, Alejandrina Cristia, Bogdan Ludusan, Roland Thiollière, Andrew Martin, Reiko Mazuka, Emmanuel Dupoux

At the acoustic level we show that, as has been documented before for phonemes, the realizations of words are more variable and less discriminable in IDS than in ADS.

Forest-type Regression with General Losses and Robust Forest

no code implementations • ICML 2017 • Alexander Hanbo Li, Andrew Martin

This paper introduces a new general framework for forest-type regression which allows the development of robust forest regressors by selecting from a large family of robust loss functions.

regression Vocal Bursts Type Prediction