Speech Recognition A-Z with Hands-On

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Learnkart Technology Private Limited

5:15:55

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00001 Introduction.mp4

00:17

00002 Learning Objectives.mp4

00:20

00003 Introduction to Speech.mp4

03:33

00004 Speech Processing and Types of Speech Recognition.mp4

05:26

00005 What Makes Speech Recognition Hard.mp4

04:28

00006 Demo - Audio File Analysis.mp4

08:16

00007 Digitizing and Recording of Speech Signal.mp4

01:14

00008 Demo - Digitization and Recording of Speech.mp4

06:53

00009 Acoustic Phonetics and Articulatory Phonetics.mp4

02:08

00010 Demo - Human Speech Production.mp4

07:30

00011 Key Takeaways.mp4

00:18

00012 Learning Objectives.mp4

00:29

00013 Introduction to Audio Signals.mp4

02:57

00014 Different Types of Signals.mp4

01:24

00015 Signal Sampling.mp4

05:04

00016 Demo - Sampling Theorem.mp4

10:26

00017 Acoustic Modeling.mp4

03:32

00018 Language Modeling.mp4

02:54

00019 Building a Basic Language Model.mp4

05:12

00020 Demo - Audio Signal Feature Extraction.mp4

17:12

00021 Building a Natural Language Model.mp4

06:04

00022 Demo - Force Alignment Expectation.mp4

20:48

00023 Introduction to the Hidden Markov Model.mp4

05:55

00024 Hidden Markov Model in Speech Recognition.mp4

05:22

00025 Demo - Spectrum Analysis.mp4

07:50

00026 Key Takeaways.mp4

00:40

00027 Learning Objectives.mp4

00:16

00028 Understanding the Problem Statement.mp4

01:59

00029 Demo - Speech to Text Modeling.mp4

11:39

00030 Data Visualization - Part I.mp4

04:58

00031 Data Visualization - Part II.mp4

06:38

00032 Data Exploration - Part I.mp4

04:09

00033 Data Exploration - Part II.mp4

03:20

00034 Demo - Data Exploration and Visualization.mp4

08:13

00035 Model Architecture - Part I.mp4

04:13

00036 Model Architecture - Part II.mp4

03:53

00037 Key Takeaways.mp4

00:23

00038 Learning Objectives.mp4

00:25

00039 Text to Speech System.mp4

02:24

00040 Text Analysis and Its Methods.mp4

05:30

00041 Stemming and Lemmatization.mp4

04:59

00042 Stop Words.mp4

03:35

00043 Phonetic Analysis.mp4

00:52

00044 Prosodic Analysis.mp4

02:44

00045 Waveform Synthesis.mp4

03:23

00046 Demo - Wave Analysis of Heartbeat Sound.mp4

04:19

00047 Voice Builder.mp4

01:29

00048 Key Takeaways.mp4

00:22

00049 Learning Objectives.mp4

00:15

00050 Understanding Multilingual Speech Processing.mp4

01:18

00051 Issues in Multilingual Speech Processing.mp4

02:58

00052 Different Language.mp4

07:30

00053 Encoding Characters.mp4

04:46

00054 Demo - Multilingual Speech.mp4

06:35

00055 Key Takeaways.mp4

00:15

00056 Learning Objectives.mp4

00:22

00057 Speech Translation.mp4

02:09

00058 Speech to Speech Translation.mp4

01:32

00059 Demo - Speech to Speech Translation.mp4

06:26

00060 Speech Processing - Interactive Creation and Evaluation SPICE Toolkit.mp4

03:22

00061 Working on Speech to Speech Translation.mp4

08:17

00062 Key Takeaways.mp4

00:27

00063 Learning Objectives.mp4

00:20

00064 Spoken Dialog System.mp4

05:24

00065 Components of the Dialog System - Part I.mp4

06:29

00066 Components of the Dialog System - Part II.mp4

05:54

00067 Voice XML and SSML.mp4

04:08

00068 Olympus.mp4

01:40

00069 Deployment.mp4

03:29

00070 Demo - Voice Building Using a Text Personal Voice Assistant.mp4

07:06

00071 Key Takeaways.mp4

00:29

00072 Learning Objectives.mp4

00:15

00073 Introduction to Voice Conversion.mp4

02:21

00074 Automatic Speech Recognition.mp4

01:41

00075 Phonetic SID System.mp4

00:58

00076 Speaker De-Identification.mp4

03:46

00077 Demo - Speaker Identification.mp4

09:31

00078 Key Takeaways.mp4

00:17

Description

Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you’re looking to pursue a career as a speech recognition professional and understand industry best practices. You’ll learn the science of applying machine learning algorithms to process large amounts of speech data. As you progress, the course will get you up to speed with automated speech recognition. Later, you’ll delve into speech translation, understanding how to work through speech-to-speech translation. Toward the concluding sections, you’ll focus on voice conversion, exploring everything from Phonetic SID System to speaker identification. Throughout the course, you’ll encounter practice questions to help you reinforce your knowledge. By the end of this course, you’ll be well-versed with speech recognition and be able to apply what you’ve learned in the real world. The resources for this course are available at https://github.com/PacktPublishing/Speech-Recognition-A-Z-with-Hands-on

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Artificial Intelligence

Learnkart Technology Private Limited

Instructor's Courses

Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.