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Automatic Speech Recognition [Intermediate]

SA

by Super AI Engineer Course
Course level: Intermediate
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Categories Signal Processing
Duration 04h 13m 27s
Total Enrolled 16042
Last Update October 24, 2021

Description

อาจารย์ผู้สอน

ดร.ขวัญชีวา แตงไทย และ อ.ณัฐพงษ์ เครือภักดี

ศูนย์เทคโนโลยีอิเล็กทรอนิกส์และคอมพิวเตอร์แห่งชาติ

*** วิชานี้สงวนสิทธิ์เฉพาะผู้สมัครเข้าร่วมโครงการ Super AI Engineer เท่านั้น

สำหรับผู้ที่สมัครโครงการ Super AI Engineer สามารถ Start Course ได้ในวันที่ 10 ตุลาคม 2564 เป็นต้นไป

What Will I Learn?

องค์ความรู้เชิงลึกด้าน Signal Processing

Topics for this course

17 Lessons04h 13m 27s

Introduction to Automatic Speech Recognition

EP.1 – Introduction to ASR00:09:47

EP.2 – ASR Enables Machines and Application00:09:14

EP.3 – Challenges for ASR and Real Word System00:13:38

EP.4 – Milestones and Performance Measuring for ASR00:11:09

Speech Recognizer

ASR Technique and Partii Demo

Workshop ASR using KALDI

About the instructors

Super AI Engineer Course

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บุคคลทั่วไปที่สนใจหรือผู้ที่ต้องการทบทวนองค์ความรู้ด้านปัญญาประดิษฐ์

Automatic Speech Recognition [Intermediate]

Description

What Will I Learn?

Topics for this course

Introduction to Automatic Speech Recognition

EP.1 – Introduction to ASR00:09:47

EP.2 – ASR Enables Machines and Application00:09:14

EP.3 – Challenges for ASR and Real Word System00:13:38

EP.4 – Milestones and Performance Measuring for ASR00:11:09

Speech Recognizer

EP.5 – Speech Recognizer : Signal Level (1)00:08:47

EP.6 – Speech Recognizer : Language Level (2)00:18:31

ASR Technique and Partii Demo

EP.7 – The Classic Technique : HMM, LDA and Time Alignments00:17:03

EP.8 – Neural Networks Technique : End to End, TDNN and Chain Model00:11:58

EP.9 – Demo : Partii Product00:05:47

EP.10 – Thai ASR Performance and More To Do00:07:09

EP.11 – Question and Answer : TDNNs, LSTM and RNN00:21:25

Workshop ASR using KALDI

EP.12 – Basic Structure ASR System00:07:54

EP.13 – KALDI : Introduction00:21:52

EP.14 – Example Script : Common Voice00:21:53

EP.15 – Data preparation : Thai Syllable System00:14:30

EP.16 – Language Model Preparation00:37:57

EP.17 – Question & Answering00:14:53

About the instructors

Super AI Engineer Course

Student Feedback

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Target Audience

Automatic Speech Recognition [Intermediate]

Description

What Will I Learn?

Topics for this course

Introduction to Automatic Speech Recognition

EP.1 – Introduction to ASR00:09:47

EP.2 – ASR Enables Machines and Application00:09:14

EP.3 – Challenges for ASR and Real Word System00:13:38

EP.4 – Milestones and Performance Measuring for ASR00:11:09

Speech Recognizer

EP.5 – Speech Recognizer : Signal Level (1)00:08:47

EP.6 – Speech Recognizer : Language Level (2)00:18:31

ASR Technique and Partii Demo

EP.7 – The Classic Technique : HMM, LDA and Time Alignments00:17:03

EP.8 – Neural Networks Technique : End to End, TDNN and Chain Model00:11:58

EP.9 – Demo : Partii Product00:05:47

EP.10 – Thai ASR Performance and More To Do00:07:09

EP.11 – Question and Answer : TDNNs, LSTM and RNN00:21:25

Workshop ASR using KALDI

EP.12 – Basic Structure ASR System00:07:54

EP.13 – KALDI : Introduction00:21:52

EP.14 – Example Script : Common Voice00:21:53

EP.15 – Data preparation : Thai Syllable System00:14:30

EP.16 – Language Model Preparation00:37:57

EP.17 – Question & Answering00:14:53

About the instructors

Super AI Engineer Course

Student Feedback

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Tags

Target Audience

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