Speaker Diarization With Lexical Information

Autor:	Park, Tae Jin, Han, Kyu, Lane, Ian, Georgiou, Panayiotis
Rok vydání:	2018
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	This work presents a novel approach to leverage lexical information for speaker diarization. We introduce a speaker diarization system that can directly integrate lexical as well as acoustic information into a speaker clustering process. Thus, we propose an adjacency matrix integration technique to integrate word level speaker turn probabilities with speaker embeddings in a comprehensive way. Our proposed method works without any reference transcript. Words, and word boundary information are provided by an ASR system. We show that our proposed method improves a baseline speaker diarization system solely based on speaker embeddings, achieving a meaningful improvement on the CALLHOME American English Speech dataset. Comment: This version removed by arXiv administrators because the author did not have the right to agree to our license at the time of submission
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1811.10761 Zobrazit plný text záznamu View this record from Arxiv