Amanote Research

Amanote Research

  • Register
  • Sign In

Speaker Diarization of Meetings Based on Large TDOA Feature Vectors

doi 10.1109/icassp.2012.6288838

Full Text

Abstract

Available in

Date

March 1, 2012

Authors

Deepu VijayasenanFabio Valente

Publisher

IEEE


Related search

Unsupervised Deep Feature Embeddings for Speaker Diarization

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2019English

Information Bottleneck Based Speaker Diarization of Meetings Using Non-Speech as Side Information

2014English

NIST RT’05S Evaluation: Pre-Processing Techniques and Speaker Diarization on Multiple Microphone Meetings

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

BIC-Based Speaker Segmentation Using Divide-And-Conquer Strategies With Application to Speaker Diarization

IEEE Transactions on Audio, Speech, and Language Processing
2010English

S4D: Speaker Diarization Toolkit in Python

2018English

Iterative PLDA Adaptation for Speaker Diarization

2016English

Audio-Video Speaker Diarization for Unsupervised Speaker and Face Model Creation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

Neural Speech Turn Segmentation and Affinity Propagation for Speaker Diarization

2018English

Composite Feature Selection Method Based on Spoken Word and Speaker Recognition

International Journal of Computer Applications
2015English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy