End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations-Reference-Cited by-同舟云学术

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End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations

Published:2024-06 Issue: Volume:161 Page:103081
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Morrone Giovanni^ORCID,Cornell Samuele,Serafini Luca,Zovato Enrico,Brutti Alessio,Squartini Stefano

Funder

Fondazione Caritro

Publisher

Elsevier BV

Reference66 articles.

1. Speaker diarization: A review of recent research;Anguera;IEEE/ACM Trans. Acoust. Speech Signal Process.,2012

2. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai,2018

3. End-to-end speaker segmentation for overlap-aware resegmentation;Bredin,2021

4. Pyannote.audio: neural building blocks for speaker diarization;Bredin,2020

5. Overlap-aware diarization: Resegmentation using neural end-to-end overlapped speech detection;Bullock,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-Stage Training Frame-level Overlapping Speech Detection Model Based on Convolutional Neural Network Architecture;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Online Speaker Diarization of Meetings Guided by Speech Separation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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