Multi-Channel Speaker Diarization Using Spatial Features for Meetings

Author:

Zheng Naijun1,Li Na2,Yu JianWei2,Weng Chao2,Su Dan2,Liu XunYing1,Meng Helen1

Affiliation:

1. The Chinese University of Hong Kong

2. Tencent AI Lab

Publisher

IEEE

Reference23 articles.

1. A DOA Based Speaker Diarization System for Real Meetings

2. Speaker diarization using direction of arrival estimate and acoustic feature information: The i 2 r-ntu submission for the nist rt 2007 evaluation;wei koh;Multimodal Technologies for Perception of Humans,2007

3. Hidden Markov Model Diarisation with Speaker Location Information

4. A Real-Time Speaker Diarization System Based on Spatial Spectrum

5. Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario

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1. A Cross-Talk Robust Multichannel VAD Model For Multiparty Agent Interactions Trained Using Synthetic Re-Recordings;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. Enhancing Low-Latency Speaker Diarization with Spatial Dictionary Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

4. Diarisation Using Location Tracking with Agglomerative Clustering;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

5. Joint Speaker Diarisation and Tracking in Switching State-Space Model;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

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