This paper presents novel features and an architecture for an automatic on-line acoustic
classification and segmentation system. The system includes speech/non-speech …

Since at least half of the world's 6000 plus languages will vanish during the 21st century,
language documentation has become a rapidly growing field in linguistics. A fundamental …

Automatic speech recognition is essential for establishing natural communication with a
human–computer interface. Speech recognition accuracy strongly depends on the …

This paper presents a novel feature for online speech/music segmentation based on the
variance mean of filter bank energy (VMFBE). The idea that encouraged the feature's …

The aim of the paper is to search for common guidelines for the future development of
speech databases for less resourced languages in order to make them the most useful for …

This paper presents speaker gender classification and segmentation. Such classification is
frequently used in broadcast news domain. Because pitch is a feature that is difficult to …

In this paper we describe the RWTH automatic speech recognition system for Slovenian
developed within the transLectures project. The project aims at supporting the transcription …

This paper is focused on acoustic modeling for spontaneous speech recognition. This topic
is still a very challenging task for speech technology research community. The attributes of …

One of the main problems with speech recognition for robots is noise. In this paper we
propose two methods to enhance the robustness of continuous speech recognition in noisy …

This paper presents a new Slovenian spoken language resource built from TEDx Talks. The
speech database contains 242 talks in total duration of 54 hours. The annotation and …