Name
Abstract | ||
|---|---|---|
Speaker diarization, usually denoted as the “who spoke when” task, turns out to be particularly challenging when applied to fictional films, where many characters talk in various acoustic conditions (background music, sound effects...). Despite this acoustic variability, such movies exhibit specific visual patterns in the dialogue scenes. In this paper, we introduce a two-step method to achieve speaker diarization in TV series: a speaker diarization is first performed locally in the scenes detected as dialogues; then, the hypothesized local speakers are merged in a second agglomerative clustering process, with the constraint that speakers locally hypothesized to be distinct must not be assigned to the same cluster. The performances of our approach are compared to those obtained by standard speaker diarization tools applied to the same data. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SLT.2014.7078606 | Spoken Language Technology Workshop |
Keywords | Field | DocType |
pattern clustering,speaker recognition,video signal processing,TV series,acoustic conditions,acoustic variability,agglomerative clustering process,constrained speaker diarization,fictional films,hypothesized local speakers,scene detection,visual patterns,who spoke when task,Speaker diarization,kagglomerative clustering,video structuration | Hierarchical clustering,Pattern recognition,Computer science,Speech recognition,Speaker diarisation,Artificial intelligence,Visual patterns | Conference |
Volume | ISSN | Citations |
abs/1812.07209 | 2014 IEEE Spoken Language Technology Workshop (SLT), Dec 2014,
South Lake Tahoe, United States. IEEE, pp.390-395, 2014,
\&\#x3008;10.1109/SLT.2014.7078606\&\#x3009 | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xavier Bost | 1 | 8 | 6.42 |
| Georges Linares | 2 | 87 | 19.73 |