Speech Recognition Training Features

  • Hands-on Focused

    10+ demos which will help you to start from scratch and become an expert during the course.

  • Support

    Discussion forum as well as on-call support for your queries.

  • Certification

    Get certificate based on your project performance, reviewed by our expert panel.

Course Curriculum

  • 1

    Discussion Forum

    • Discussion Forum

  • 2

    LAB

    • Access Your Lab

  • 4

    Lesson 1 - Speech and its Types

  • 5

    1.1 Introduction to Speech

    • 1. Introduction to Speech

  • 6

    1.2 Speech Processing

    • 1. Speech Processing and Types of Speech Recognition

    • 2. What Makes Speech Recognition Hard and Related Area of Research

  • 7

    1.3 Demo - Audio File Analysis Speech Processing Basics

    • 1. Demo - Audio File Analysis

    • Demo Resources

  • 8

    1.4 Digitizing and Recording of Speech Signal

    • 1. Digitizing and Recording of Speech Signal

  • 9

    1.5 Demo - Digitization and Recording of Speech

    • Demo -Digitization and Recording of Speech

    • Demo Resources

  • 10

    1.6 Acoustic Phonetics and Articulatory Phonetics

    • 1. Acoustic Phonetics and Articulatory Phonetics

  • 11

    1.7 Demo - Human Speech Production

    • Demo - Human Speech Production

    • Demo Resources

  • 12

    1.8 Key Takeaway

    • Key Takeaway

  • 13

    Quiz

    • Test Your Knowledge

  • 14

    Lesson 2 - Automated Speech Recognition

    • Learning Objectives

  • 15

    2.1 Introduction to Audio Signal

    • 1. Introduction to Audio Signal

  • 16

    2.2 Different Types of Signal

    • 1. Different Types of Signal

  • 17

    2.3 Signal Sampling

    • 1. Signal Sampling

  • 18

    2.4 Demo - Audio Signal Feature Extraction

    • Demo - Audio Signal Feature Extraction

    • Demo Resources

  • 19

    2.5 Demo - Sampling Theorem

  • 20

    2.6 Acoustic Modeling

    • 1. Acoustic Modeling

  • 21

    2.7 Language Modeling

    • 1. Language Modeling

  • 22

    2.8 Building a Basic Language Model

    • 1. Building a Basic Language Model

  • 23

    2.9 Hidden Markov Model

    • 1. Introduction to HMM

    • 2. HMM in Speech Recognition

  • 24

    2.10 Building a Natural Language Model

    • 1. Building a Natural Language Model

  • 25

    2.11 Demo - Spectrum Analysis

    • 1. Demo - Spectrum Analysis

    • Demo Resources

  • 26

    2.12 Demo - Force Alignment Expectation

    • 1. Demo - Force Alignment Expectation

    • Demo Resources

  • 27

    2.13 Key Takeaway

    • Key Takeaway

  • 28

    Quiz

    • Test Your Knowledge

  • 29

    Lesson 3 - Speech to text

    • Learning Objective

  • 30

    3.1 Speech to Text - Understanding the Problem Statement

    • 1. Understanding the Problem Statement

  • 31

    3.2 Data Visualization

    • 1. Data Visualization - Part 1

    • 2. Data Visualization - Part 2

  • 32

    3.3 Data Exploration

    • 1. Data Exploration - Part 1

    • 2. Data Exploration - Part 2

  • 33

    3.4 Demo - Data Exploration and visualization

    • Demo - Data Exploration and visualization

    • Demo Resources

  • 34

    3.5 Model Architecture

    • 1. Model Architecture - Part 1

    • 2. Model Architecture - Part 2

  • 35

    3.6 Demo - Speech to Text Modeling

    • Demo - Speech to Text Modeling

    • Demo Resources

  • 36

    3.7 Key Takeaway

    • Key Takeaway

  • 37

    Quiz

    • Test Your Knowledge

  • 38

    Lesson 4 - Text to Speech

    • Learning Objective

  • 39

    4.1 Text to Speech System

    • 1. Text to Speech System

  • 40

    4.2 Text Analysis

    • 1. Text Analysis and its Methods

    • 2. Stemming and Lemmatization

    • 3. Stop Words

  • 41

    4.3 Phonetic Analysis

    • 1. Phonetic Analysis

  • 42

    4.4 Prosodic Analysis

    • 1. Prosodic Analysis

  • 43

    4.5 Waveform Synthesis

    • 1. Waveform Synthesis

  • 44

    4.6 Demo - Wave Analysis of Heart Beat Sound

    • Demo - Wave Analysis of Heart Beat Sound

    • Demo Resources

  • 45

    4.7 Voice Builder

    • 1. Voice Builder

  • 46

    4.8 Key Takeaway

    • Key Takeaway

  • 47

    Quiz

    • Test Your Knowledge

  • 48

    Lesson 05

    • Learning Objective

  • 49

    5.1 Understand Multilingual

    • 1.Understand Multilingual

  • 50

    5.2 Issues in Multilingual

    • 1.Issues in Multilingual

  • 51

    5.3 Different language

    • 1.Different language

  • 52

    5.4 Encoding Characters

    • 1.Encoding Characters

  • 53

    5.5 Demo - Multilingual Speech

    • Demo - Multilingual Speech

    • Demo Resources

  • 54

    5.6 Key Takeaway

    • Key Takeaway

    • Key Takeaway

  • 55

    Lesson 06

    • Learning Objective

  • 56

    6.1 Speech Translation

    • 1.Speech Translation

  • 57

    6.2 Speech to Speech

    • 1.Speech to Speech

  • 58

    6.3 Speech Processing

    • 1.Speech Processing

  • 59

    6.4 Working on Speech to Speech Translation

    • 1.Working on Speech to Speech Translation

  • 60

    6.5 Demo - Speech to Speech Translation

    • Demo - Speech to Speech Translation

    • Demo Resources

  • 61

    6.6 Key Takeaway

    • Key Takeaway

  • 62

    Lesson 07

    • Learning Objective

  • 63

    7.1 Spoken Dialog System

    • 1.Spoken Dialog System

  • 64

    7.2 Components of dialogue system

    • 1.Components of dialogue system part - 1

    • 2.Components of dialogue system part - 2

  • 65

    7.3 VoiceXML and SSML

    • 1.VoiceXML and SSML

  • 66

    7.4 Olympus

    • 1.Olympus

  • 67

    7.5 Deployment

    • 1.Deployment

  • 68

    7.6 Demo - Voice Building Using Text Personal Voice Assistant

    • Demo - Voice Building Using Text Personal Voice Assistant

    • Demo Resources

  • 69

    7.7 Key Takaway

    • Key Takaway

  • 70

    Lesson 08

    • Learning Objective

  • 71

    8.1 Introduction to Voice Conversion

    • 1.Introduction to Voice Conversion

  • 72

    8.2 Automatic Speech Recongnition

    • 1.Automatic Speech Recongnition

  • 73

    8.3 Phonetic SID System

    • 1.Phonetic SID System

  • 74

    8.4 Speaker Deidentification

    • 1.Speaker Deidentification

  • 75

    8.5 Demo - Speaker Identification

    • Demo - Speaker Identification

    • Demo Resources

  • 76

    8.6 Key Takeaway

    • Key Takeaway

  • 77

    Project

    • Certification Project

FAQ

  • After signing up for the course, after how much time would I get access to the Learning Content?

    As soon as you signed-up, you will have full access to the complete self-paced content.

  • How my doubts will be resolved?

    There is a discussion forum attached to each course in your LMS. You can post your questions and our expert(s) will answer the queries.

  • For how long do I have access to the course material?

    The training course content is available to you for one year.

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Our Students Love Us

Roopa Madan

Excellent course from learnkarts. Support provided was great.

Rupesh Awasthi

Very interesting course. Had lot of fun while learning. Demos are too good.

Mayank Sharma

The course is very hands on. There are lot of code snippets in the course which is explained in detail. On top of that demos are very good.