Amanote Research
Register
Sign In
S4D: Speaker Diarization Toolkit in Python
doi 10.21437/interspeech.2018-1232
Full Text
Open PDF
Abstract
Available in
full text
Date
September 2, 2018
Authors
Pierre-Alexandre Broux
Florent Desnous
Anthony Larcher
Simon Petitrenaud
Jean Carrive
Sylvain Meignier
Publisher
ISCA
Related search
Iterative PLDA Adaptation for Speaker Diarization
Unsupervised Deep Feature Embeddings for Speaker Diarization
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science
Audio-Video Speaker Diarization for Unsupervised Speaker and Face Model Creation
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
An Extensible Speaker Identification Sidekit in Python
BIC-Based Speaker Segmentation Using Divide-And-Conquer Strategies With Application to Speaker Diarization
IEEE Transactions on Audio, Speech, and Language Processing
Neural Speech Turn Segmentation and Affinity Propagation for Speaker Diarization
Speaker Diarization of Meetings Based on Large TDOA Feature Vectors
Fusing Short Term and Long Term Features for Improved Speaker Diarization
Information Bottleneck Based Speaker Diarization of Meetings Using Non-Speech as Side Information