Diarization-based speaker retrieval for broadcast television archives

Autor:	Marijn Huijbregts, D.A. van Leeuwen
Rok vydání:	2011
Předmět:	Speaker diarisation Set (abstract data type) Broadcast television systems Computer science Speech recognition Process (computing) Fraction (mathematics)
Zdroj:	INTERSPEECH
DOI:	10.21437/interspeech.2011-388
Popis:	In this study we extend a query-by-example diarizationbased speaker retrieval system to a full speaker retrieval system for broadcast television. The envisioned system is capable of finding all speakers in an archive using their names instead of example speech fragments. Information extracted from a television guide is used to label speaker clusters that most likely correspond to the found names. As part of the labeling process, all speaker clusters are first classified automatically based on their role in the programs they appear in. The role classification accuracy is 64% on our evaluation set. Speaker names can automatically be attributed to a fraction of the speaker clusters with an accuracy of 70%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::88dae7270541c1ae4a58670a6723f082 https://doi.org/10.21437/interspeech.2011-388 Zobrazit plný text záznamu