A Tutorial on Speaker Diarization free download

A Tutorial on Speaker Diarization is a tutorial on speaker diarization techniques . It solves the problem “who spoke when, or who spoke what” It is highly relevant with many other techniques, such as voice activity detection, speaker recognition, automatic speech recognition, speech separation, statistics, and deep learning . It has found various applications in numerous scenarios such as automatic meeting transcript generation, medical record analysis, media indexing and retrieval, and 2nd pass speech recognition . In this course, we will first go through the basic concepts and applications of speaker diadarization, followed by coding examples of speaker darization . We will also discuss the state-of-the-art academic advances

What you’ll discover in A Tutorial on Speaker Diarization

  1. Basic principles in audio speaker diarization
  2. Frequently utilized formulas in speaker diarization
  3. Modern scholastic breakthroughs in speaker diarization
  4. Coding examples of audio speaker diarization

Description

This course is a tutorial on audio speaker diarization strategies.

Audio speaker diarization is an advanced topic in speech processing. It addresses the problem “that spoke when”, or “who spoke what”. It is highly relevant with lots of various other techniques, such as voice activity discovery, speaker acknowledgment, automated speech recognition, speech separation, statistics, and also deep discovering. It has actually found numerous applications in many circumstances, such as automated conference transcript generation, clinical document analysis, media indexing as well as access, as well as second pass speech acknowledgment.

In this program, we will first experience the basic concepts and applications of speaker diarization, adhered to by the scoring and also metrics. After that we will certainly introduce the not being watched techniques in audio speaker diarization, starting with the commonly used modularized framework, followed by an introduction to clustering formulas, with a concentrate on spectral clustering and its expansions. Next, we will certainly talk about the issues with clustering algorithms, and present the monitored methods in speaker diarization. We will primarily speak about 4 supervised speaker diarization strategies, i.e. UIS-RNN, PIT/EEND, TS-VAD, as well as DNC. Finally, we will certainly discuss the challenges as well as future study directions in speaker diarization.

Who this course is for:

  • College and graduate students interested in audio and speech processing
  • Researchers in computer science or signal processing domains
  • Developers, system architects, and product managers for intelligent speech systems
File Name :A Tutorial on Speaker Diarization free download
Content Source:udemy
Genre / Category:Development
File Size :5.58 gb
Publisher :Quan Wang
Updated and Published:07 Jul,2022

Related post

File name: A-Tutorial-on-Speaker-Diarization.rar
File Size:5.58 gb
Course duration:9 hours
Instructor Name:Quan Wang , Chao Zhang
Language:English
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