Surface Realization Architecture for Low-resourced African Languages

Useful technique for low-resourced/under-resourced languages

Eigentrigraphemes for under-resourced languages

Grapheme-based modeling has an advantage over phone-based modeling in automatic speech recognition for under-resourced languages when a good dictionary is not available. Recently we proposed a new method for parameter estimation of context-dependent hidden Markov model (HMM) called eigentriphone modeling. Eigentriphone modeling outperforms conventional tied-state HMM by eliminating the quantiza...

Acoustic modelling for under-resourced languages

Over the past decades research in the field of automatic speech recognition has lead to systems with a sufficiently high grade of maturity that makes them suitable for use in real-life applications. However, such recognition systems have been developed only for very few languages. Languages addressed are mainly those with a large population, a high economic power, or for which a high political ...

Automatic Speech Recognition for Under-Resourced Languages:

Speech processing for under-resourced languages is an active field of research, which has experienced significant progress during the past decade. We propose, in this paper, a survey that focuses on automatic speech recognition (ASR) for these languages. The definition of under-resourced languages and the challenges associated to them are first defined. The main part of the paper is a literatur...

The development of new corpora for under-resourced languages using data available for well-resourced ones

In the paper we propose to exploit existing corpora of wellresourced languages as a basis for developing similar corpora of under-resourced ones. The construction of this type of corpora will allow finding common patterns of acoustic manifestation of similar functional states regardless of the language. The analysis of these corpora will also allow investigating universal and language-specific ...