Speaker: Sara Barahona Quirós. Abstract: The Conformer architecture has shown excellent performance in accurately classifying sound events but lacks temporal precision when predicting time boundaries. While increasing the length of the input sequences can mitigate this issue, it also increases… Read More
Analysis of Speaker Label Matching for Diarization of Long Audios on RTVE2022 Dataset
Speaker: Laura Herrera Alarcón. Abstract: This study introduces an algorithm to match predicted speaker labels from short audio segments into a final prediction. This involves extracting an x-vector for each speaker in each segment and applying constrained Agglomerative Clustering to… Read More
Analyzing DiaPer EEND Speaker Diarization Models on the RTVE2022 Dataset
Speaker: Juan Ignacio Álvarez Trejos. Abstract: The task of speaker diarization has lately been successfully tackled with end-to-end neural diarization (EEND) models instead of modular cascaded ones. Among them, the very new EEND Perceiver-based attractors (DiaPer) comes with a light… Read More