Amanote Research
Register
Sign In
Speaker Diarization of Meetings Based on Large TDOA Feature Vectors
doi 10.1109/icassp.2012.6288838
Full Text
Open PDF
Abstract
Available in
full text
Date
March 1, 2012
Authors
Deepu Vijayasenan
Fabio Valente
Publisher
IEEE
Related search
Unsupervised Deep Feature Embeddings for Speaker Diarization
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science
Information Bottleneck Based Speaker Diarization of Meetings Using Non-Speech as Side Information
NIST RT’05S Evaluation: Pre-Processing Techniques and Speaker Diarization on Multiple Microphone Meetings
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Iterative PLDA Adaptation for Speaker Diarization
BIC-Based Speaker Segmentation Using Divide-And-Conquer Strategies With Application to Speaker Diarization
IEEE Transactions on Audio, Speech, and Language Processing
S4D: Speaker Diarization Toolkit in Python
Audio-Video Speaker Diarization for Unsupervised Speaker and Face Model Creation
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Neural Speech Turn Segmentation and Affinity Propagation for Speaker Diarization
Composite Feature Selection Method Based on Spoken Word and Speaker Recognition
International Journal of Computer Applications