Phonemic transcription of low-resource tonal languages

For this, overcoming the language barrier is needed and this is what we propose in the ALFFA project 1 where two main aspects are involved: fundamentals of speech analysis

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In the present paper, both a connectionist framework for the representation of tonal knowledge and for the simulation of perceptual learning in music are presented.. The

In addition, we present a repeatable use case for low-resource languages: using neural machine translation with humans- in-the-loop to improve global access to health care

In this paper we propose an efficient feed-forward deep neural network (DNN)-based acoustic model, using stacked bottleneck features, that together with the recently introduced

The paper presents a hierarchical naive Bayesian and lexicon based classifier for short text language identification (LID) useful for under resourced languages.. The algorithm

The tests reported here (on Yongning Na and other languages from the Pangloss Collection, an open archive of endangered languages) explore some possibilities for automating the

We proposed five prototypical curves that represent global tonal tension profiles and then we asked the listeners to select the curve that best represents the overall perceived