17 citations · 49 across the 24 of their papers we have counts for
11 papers · 1 filter
Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
Luyao Cheng, Siqi Zheng, Qinglin Zhang +4
Speaker diarization has gained considerable attention within speech processing research community. Mainstream speaker diarization rely primarily on speakers' voice characteristics…
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Hui Wang, Siqi Zheng, Yafeng Chen +2
Time delay neural network (TDNN) has been proven to be efficient for speaker verification. One of its successful variants, ECAPA-TDNN, achieved state-of-the-art performance at the…
Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
Zhihao Du, Shiliang Zhang, Siqi Zheng +1
Recently, hybrid systems of clustering and neural diarization models have been successfully applied in multi-party meeting analysis. However, current models always treat overlapped…
PRISM: Pre-trained Indeterminate Speaker Representation Model for Speaker Diarization and Speaker Verification
Siqi Zheng, Hongbin Suo, Qian Chen
Speaker embedding has been a fundamental feature for speaker-related tasks such as verification, clustering, and diarization. Traditionally, speaker embeddings are represented as f…
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
Siqi Zheng, Hongbin Suo
Clustering-based speaker diarization has stood firm as one of the major approaches in reality, despite recent development in end-to-end diarization. However, clustering methods hav…
Speaker Embedding-aware Neural Diarization: an Efficient Framework for Overlapping Speech Diarization in Meeting Scenarios
Zhihao Du, Shiliang Zhang, Siqi Zheng +1
Overlapping speech diarization has been traditionally treated as a multi-label classification problem. In this paper, we reformulate this task as a single-label prediction problem…
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
Fan Yu, Shiliang Zhang, Pengcheng Guo +13
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologie…
Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information
Zhihao Du, Shiliang Zhang, Siqi Zheng +2
Overlapping speech diarization is always treated as a multi-label classification problem. In this paper, we reformulate this task as a single-label prediction problem by encoding t…
M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
Fan Yu, Shiliang Zhang, Yihui Fu +9
Recent development of speech processing, such as speech recognition, speaker diarization, etc., has inspired numerous applications of speech technologies. The meeting scenario is o…
BeamTransformer: Microphone Array-based Overlapping Speech Detection
Siqi Zheng, Shiliang Zhang, Weilong Huang +5
We propose BeamTransformer, an efficient architecture to leverage beamformer's edge in spatial filtering and transformer's capability in context sequence modeling. BeamTransformer…
A Real-time Speaker Diarization System Based on Spatial Spectrum
Siqi Zheng, Weilong Huang, Xianliang Wang +3
In this paper we describe a speaker diarization system that enables localization and identification of all speakers present in a conversation or meeting. We propose a novel systema…