Multi-Channel Speaker Diarization Using Spatial Features for Meetings
Author:
Affiliation:
1. The Chinese University of Hong Kong
2. Tencent AI Lab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747343.pdf?arnumber=9747343
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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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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