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Speech Recognition A-Z with Hands-On [Video]
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Free ChapterSpeech and Its Types
- Introduction
- Learning Objectives
- Introduction to Speech
- Speech Processing and Types of Speech Recognition
- What Makes Speech Recognition Hard?
- 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
- Key Takeaways
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Automated Speech Recognition
- Learning Objectives
- Introduction to Audio Signals
- 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 the Hidden Markov Model
- Hidden Markov Model in Speech Recognition
- Demo - Spectrum Analysis
- Key Takeaways
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Speech to Text
- Learning Objectives
- Understanding the Problem Statement
- Demo - Speech to Text Modeling
- Data Visualization - Part I
- Data Visualization - Part II
- Data Exploration - Part I
- Data Exploration - Part II
- Demo - Data Exploration and Visualization
- Model Architecture - Part I
- Model Architecture - Part II
- Key Takeaways
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Text to Speech
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Multilingual Speech Processing
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Speech Translation
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Spoken Dialog System
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Voice Conversion
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
- Publication date:
- August 2020
- Publisher
- Packt
- Duration
- 5 hours 16 minutes
- ISBN
- 9781800561700
Download code from GitHub