In this report, we propose a discriminative decoder for the recognition of phoneme sequences, i.e. the identification of the uttered phoneme sequence from a speech recording. This task is solved as a 3 step process: a phoneme classifier first classifies each accoustic frame, then temporal consistency features (TCF) are extracted from the phoneme classifier outputs, and finally a sequence decode...

This paper proposes a phoneme lattice based TextTiling approach towards multilingual story segmentation. The phoneme is the smallest segmental unit in a language and the number of phonemes in a language is usually far smaller than the number of words. Furthermore, many phonemes are shared by different languages. These properties make phonemes particularly appropriate for representing multilingu...

We present a method for phoneme recognition using an expert system combining spectrogram reading knowledge and neural networks, and we report its performance. The proposed expert system consists of two parts : (1) phoneme segmentation based on spectrogram reading knowledge used by human experts, and (2) phoneme identification using neural networks applied to the phoneme boundaries determined in...