DIHARD III was the third in a series of speaker diarization challenges intended to improve
the robustness of diarization systems to variability in recording equipment, noise conditions …

The growth in online child exploitation material is a significant challenge for European Law
Enforcement Agencies (LEAs). One of the most important sources of such online information …

This paper presents a new approach based on recurrent neural networks (RNN) to the
multiclass audio segmentation task whose goal is to classify an audio signal as speech …

This paper describes the system developed by the BUT team for the fourth track of the
VoxCeleb Speaker Recognition Challenge, focusing on diarization on the VoxConverse …

In multi-lingual societies, where multiple languages are spoken in a small geographic
vicinity, informal conversations often involve mix of languages. Existing speech technologies …

This paper describes a comparison between hybrid and end-to-end Automatic Speech
Recognition (ASR) systems, which were evaluated on the IberSpeech-RTVE 2020 Speech …

Evaluation campaigns provide a common framework with which the progress of speech
technologies can be effectively measured. The aim of this paper is to present a detailed …

Wake-up word spotting in noisy environments is a critical task for an excellent user
experience with voice assistants. Unwanted activation of the device is often due to the …

Nowadays, the large amount of audio-visual content available has fostered the need to
develop new robust automatic speaker diarization systems to analyse and characterise it …

Speech is considered as a multi-modal process where hearing and vision are two
fundamentals pillars. In fact, several studies have demonstrated that the robustness of …