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Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization
In this digitally-driven culture, the need and demand for diarizing online meetings, classes,
conferences, and medical diagnoses have increased a lot. Speaker Diarization, a sub …
conferences, and medical diagnoses have increased a lot. Speaker Diarization, a sub …
Robust Speaker Verification with Joint Self-Supervised and Supervised Learning
K Wang, X Zhang, M Zhang, Y Li, J Lee… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Supervised learning and self-supervised learning address different facets. Supervised
learning achieves high accuracy, but it requires numerous expensive labeled data indeed …
learning achieves high accuracy, but it requires numerous expensive labeled data indeed …
[PDF][PDF] CROSS-DOCUMENT COREFERENCE RESOLUTION MODEL BASED ON NEURAL ENTITY EMBEDDING
A KESHTKARAN - 2021 - eprints.utm.my
ABSTRACT Natural Language Processing (NLP) is a way for computers to derive, analyze,
and understand the meaning of human language in a smart and useful way. NLP considers …
and understand the meaning of human language in a smart and useful way. NLP considers …