Speech Recognition A-Z With Hands-On

BY
Simpliv Learning

Mode

Online

Fees

$ 199 999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
$ 199  $999
certificate availability

Yes

certificate providing authority

Simpliv Learning

The syllabus

Course Introduction

  • Introduction

Lesson 1: Speech and its Types

  •  Lesson 1 - Learning Objective PREVIEW
  •  Introduction to Speech
  •  Speech Processing and Types of Speech Recognition
  •  What Makes Speech Recognition Hard and Related Area of Research
  •  Demo - Audio File Analysis
  •  Digitizing and Recording of Speech Signal
  •  Demo - Digitization and Recording of Speech
  •  Acoustic Phonetics and Articulatory Phonetics
  •  Demo - Human Speech Production
  •  Lesson 1 - Key Takeaway
  •  Lesson 1 - Knowledge Check

Lesson 2: Automated Speech Recognition

  •  Lesson 2 - Learning Objective
  •  Introduction to Audio Signal
  •  Different Types of Signals
  •  Signal Sampling
  •  Demo - Sampling Theorem
  •  Acoustic Modeling
  •  Language Modeling
  •  Building a Basic Language Model
  •  Demo - Audio Signal Feature Extraction
  •  Building a Natural Language Model
  •  Demo - Force Alignment Expectation
  •  Introduction to Hidden Markov Model
  •  Hidden Markov Model in Speech Recognition
  •  Demo - Spectrum Analysis
  •  Lesson 2 - Key Takeaway
  •  Lesson 2 - Knowledge Check

Lesson 3: Speech to Text

  •  Lesson 3 - Learning Objective
  •  Speech to Text - Understanding the Problem Statement
  •  Demo - Speech to Text Modeling
  •  Data Visualization Part-1
  •  Data Visualization Part-2
  •  Data Exploration Part-1
  •  Data Exploration Part-2
  •  Demo - Data Exploration and Visualization
  •  Model Architecture Part-1
  •  Model Architecture Part-2
  •  Lesson 3 - Key Takeaway
  •  Lesson 3 - Knowledge Check

Lesson 4: Text to Speech

  •  Lesson 4 - Learning Objective
  •  Text to Speech System
  •  Text Analysis and Its Methods
  •  Stemming and Lemmatization
  •  Stop Words
  •  Phonetic Analysis
  •  Prosodic Analysis
  •  Waveform Synthesis
  •  Demo - Wave Analysis of Heart Beat Sound
  •  Voice Builder
  •  Lesson 4 - Key Takeaway
  •  Lesson 4 - Knowledge Check

Lesson 5: Multilingual Speech Processing

  •  Lesson 5 - Learning Objective
  •  Understand Multilingual
  •  Issues in Multilingual
  •  Different Language
  •  Encoding Characters
  •  Demo - Multilingual Speech
  •  Lesson 5 - Key Takeaway
  •  Lesson 5 - Knowledge Check

Lesson 6: Speech Translation

  •  Lesson 6 - Learning Objective
  •  Speech Translation
  •  Speech to Speech Translation
  •  Demo - Speech to Speech Translation
  •  Speech Processing - Interactive Creation and Evaluation (SPICE) Toolkit
  •  Working on Speech to Speech Translation
  •  Lesson 6 - Key Takeaway
  •  Lesson 6 - Knowledge Check

Lesson 7: Spoken Dialog System

  •  Lesson 7 - Learning Objective
  •  Spoken Dialog System
  •  Components of Dialogue System Part-1
  •  Components of Dialogue System Part-2
  •  Voice XML and SSML
  •  Olympus
  •  Deployment
  •  Demo - Voice Building Using Text Personal Voice Assistant
  •  Lesson 7 - Key Takeaway
  •  Lesson 7 - Knowledge Check

Lesson 8: Voice Conversion

  •  Lesson 8 - Learning Objective
  •  Introduction to Voice Conversion
  •  Automatic Speech Recognition
  •  Phonetic SID System
  •  Speaker De-Identification
  •  Demo - Speaker Identification
  •  Lesson 8 - Key Takeaway
  •  Lesson 8 - Knowledge Check

Course End Project

  •  Project - Problem Statement
  •  Project - Solution

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