Speech Recognition A-Z with Hands-on

Simpliv

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Online

£ 10 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

The Speech Recognition course gives you a detailed look at the science of applying machine learning algorithms to process large amounts of speech data. Speech recognition is driving the growth of the AI market, and this course helps you develop the skills required to become an Speech recognition professional. This course has been aligned with industry best practices as it has been created by industry leaders.Individuals having basic knowledge of data analysis and must have created models using machine learning including Data Analyst, Data Scientists, Machine Learning Engineer, Deep Learning Engineers and many more.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

The Speech Recognition course gives you a detailed look at the science of applying machine learning algorithms to process large amounts of speech data. Speech recognition is driving the growth of the AI market, and this course helps you develop the skills required to become an Speech recognition professional

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Phonetics
  • Industry
  • Production

Course programme

Course Introduction 1 lecture 00:17 Introduction Course Introduction 1 lecture 00:17 Introduction Introduction Introduction Introduction Introduction Lesson 1: Speech and its Types 10 lectures 40:09 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 1: Speech and its Types 10 lectures 40:09 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 1 - Learning Objective preview Lesson 1 - Learning Objective preview Lesson 1 - Learning Objective preview Lesson 1 - Learning Objective preview Introduction to Speech Introduction to Speech Introduction to Speech Introduction to Speech Speech Processing and Types of Speech Recognition Speech Processing and Types of Speech Recognition Speech Processing and Types of Speech Recognition Speech Processing and Types of Speech Recognition What Makes Speech Recognition Hard and Related Area of Research What Makes Speech Recognition Hard and Related Area of Research What Makes Speech Recognition Hard and Related Area of Research What Makes Speech Recognition Hard and Related Area of Research Demo - Audio File Analysis Demo - Audio File Analysis Demo - Audio File Analysis Demo - Audio File Analysis Digitizing and Recording of Speech Signal Digitizing and Recording of Speech Signal Digitizing and Recording of Speech Signal Digitizing and Recording of Speech Signal Demo - Digitization and Recording of Speech Demo - Digitization and Recording of Speech Demo - Digitization and Recording of Speech Demo - Digitization and Recording of Speech Acoustic Phonetics and Articulatory Phonetics Acoustic Phonetics and Articulatory Phonetics Acoustic Phonetics and Articulatory Phonetics Acoustic Phonetics and Articulatory Phonetics Demo - Human Speech Production Demo - Human Speech Production Demo - Human Speech Production Demo - Human Speech Production Lesson 1 - Key Takeaway Lesson 1 - Key Takeaway Lesson 1 - Key Takeaway Lesson 1 - Key Takeaway Lesson 1 - Knowledge Check Lesson 1 - Knowledge Check Lesson 1 - Knowledge Check Lesson 1 - Knowledge Check Lesson 2: Automated Speech Recognition 15 lectures 01:35:54 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 2: Automated Speech Recognition gData 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 3 - Learning Objective Lesson 3 - Learning Objective Lesson 3 - Learning Objective Lesson 3 - Learning Objective Speech to Text - Understanding the Problem Statement Speech to Text - Understanding the Problem Statement Speech to Text - Understanding the Problem Statement Speech to Text - Understanding the Problem Statement Demo - Speech to Text Modeling Demo - Speech to Text Modeling Demo - Speech to Text Modeling Demo - Speech to Text Modeling Data Visualization Part-1 Data Visualization Part-1 Data Visualization Part-1 Data Visualization Part-1 Data Visualization Part-2 Data Visualization Part-2 Data Visualization Part-2 Data Visualization Part-2 Data Exploration Part-1 Data Exploration Part-1 Data Exploration Part-1 Data Exploration Part-1 Data Exploration Part-2 Data Exploration Part-2 Data Exploration Part-2 Data Exploration Part-2 Demo - Data Exploration and Visualization Demo - Data Exploration and Visualization Demo - Data Exploration and Visualization Demo - Data Exploration and Visualization Model Architecture Part-1 Model Architecture Part-1 Model Architecture Part-1 Model Architecture Part-1 Model Architecture Part-2 Model Architecture Part-2 Model Architecture Part-2 Model Architecture Part-2 Lesson 3 - Key Takeaway Lesson 3 - Key Takeaway Lesson 3 - Key Takeaway Lesson 3 - Key Takeaway Lesson 3 - Knowledge Check Lesson 3 - Knowledge Check Lesson 3 - Knowledge Check Lesson 3 - Knowledge Check Lesson 4: Text to Speech 11 lectures 30:08 Lesson 4 - Learning Objective Text to Speech System Text Analysis and...

Additional information

Learner must have an understanding of Machine Learning Algorithms and how these algorithms work. Learner should be able to define and develop models in machine learning and derive outcomes

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Speech Recognition A-Z with Hands-on

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