Udemy

Speech Recognition with Python

Enroll Now
  • 955 Students
  • Updated 10/2025
  • Certificate Available
4.3
(122 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 24 Minute(s)
Language
English
Taught by
365 Careers
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(122 Ratings)

Course Overview

Speech Recognition with Python

Master Speech Recognition with Python: From Fundamentals to Cutting-Edge AI Applications

Take the Speech Recognition with Python course and step into the fascinating world of Speech Recognition. Gain the skills to transform spoken language into actionable insights - a crucial skill in the age of AI. This course is your gateway to mastering the technology behind virtual assistants, voice-activated systems, and automated transcription tools. Whether you're an aspiring AI engineer, data scientist, AI developer, audio engineer, or a professional looking to enhance their technical skill set, this course equips you with everything you need to excel in the speech recognition domain.


What Will You Learn?

  • The Foundations of Speech Recognition: Explore how audio is transformed into digital data, processed, and converted into text. Build a strong theoretical base, from acoustic modeling to advanced algorithms.

  • Hands-On Python Projects: Use Python’s robust libraries to process, visualize, and transcribe audio files. Learn both online and offline approaches for developing speech-to-text applications.

  • Cutting-Edge Techniques: Dive into Hidden Markov Models, Neural Networks, and Transformers. Understand the mechanics behind modern speech recognition systems and discover how they power real-world applications.

  • Practical Applications: Master the skills to build voice-activated assistants, enhance accessibility, and develop solutions for data-driven decision-making.


Why Take This Course?

  1. Comprehensive Curriculum: Learn the end-to-end process of speech recognition—from theory to practical implementation—making complex topics accessible and engaging.

  2. Expert Instruction: Ivan, your instructor, is a seasoned sound engineer and data scientist passionate about AI. With years of experience in the media and film industries and expertise in AI, he brings a unique blend of creativity and technical insight.

  3. Real-World Applications: Understand how speech recognition powers tools like Siri, Google Assistant, and smart home devices, and learn to create similar innovations yourself.

  4. Interactive Learning: Follow along with engaging lessons, real-world examples, and practical exercises in Jupyter Notebook.

Learn to work with essential libraries like Librosa for audio processing and implement speech-to-text tools using cutting-edge AI models, including OpenAI's Whisper and Google's Web Speech API. Get familiar with the Python SpeechRecognition library and explore industry-leading toolkits such as Assembly AI, Meta's Wav2Letter, and Mozilla DeepSpeech, understanding their capabilities, accessibility, and cost considerations.

Dive into fascinating concepts like the human hearing apparatus, the exciting history of speech recognition, and the intricate behavior of sound waves—often overlooked topics that will give you a deeper understanding and set you apart. Learn about digital audio by understanding bit rate, bit depth, and sampling rate.

Listen to real audio and music examples to make learning easier, practical, and fun.


What Sets This Course Apart?

  • High-Quality Content: Professionally produced lectures with easy-to-follow explanations and animations.

  • Practical Focus: Go beyond theory and build hands-on projects to cement your learning.

  • AI Integration: Learn how speech recognition interacts with broader AI technologies, positioning you as a forward-thinking professional.

  • Supportive Community: Access active Q&A support and a thriving learner community.


Who Is This Course For?

  • Data science and AI enthusiasts eager to explore speech recognition technology.

  • Developers looking to integrate speech-to-text functionality into their applications.

  • Audio engineers and sound designers interested in modern technologies.

  • Professionals seeking to enhance accessibility or automate tasks with voice-driven solutions.


Your Future Awaits

The demand for speech recognition experts is skyrocketing as industries increasingly adopt AI-driven technologies. By enrolling in this course, you’ll not only master a cutting-edge skill but also position yourself for success in a rapidly growing field.

This course is backed by a 30-day full money-back guarantee. Take the first step toward a future of endless possibilities—click "Enroll Now" and start your journey into Speech Recognition with Python today!

Course Content

  • 10 section(s)
  • 44 lecture(s)
  • Section 1 Introduction to Speech Recognition for AI
  • Section 2 Sound and Speech Basics
  • Section 3 Analog to Digital Conversion
  • Section 4 Audio Feature Extraction for AI Applications
  • Section 5 Speech Recognition Mechanics: From Statistics to Transformers
  • Section 6 Setting Up the Environment
  • Section 7 Transcribing Audio with Google Web Speech API
  • Section 8 Background Noise and Spectrograms
  • Section 9 Transcribing Audio with OpenAI's Whisper
  • Section 10 Final Discussion and Future Directions

What You’ll Learn

  • Fundamentals of Speech Recognition
  • Python for Speech Recognition
  • Audio Processing Techniques
  • Advanced AI Algorithms
  • Building Speech-to-Text Applications
  • Practical AI Applications
  • Text-to-Speech Implementation
  • Open AI's Whisper


Reviews

  • h
    hedieh rahmani
    4.0

    The videos' speed was so high

  • D
    Dhananjay Kadam
    4.5

    Instructor responding with proper analysis and very important and updated contents.

  • M
    Maria Jakovljevic
    5.0

    The course was developed using innovative AI technology and was presented with the help of an AI teacher, and I wanted to compete with my AI teacher. This course addresses essential issues in speech recognition and human communication, which have been relatively understudied in research and education. I found the course to be well-organized, clearly presented, and enhanced by the professional animations. Also, I found this course to be well-structured and presented professionally, with a clear, step-by-step approach, including illustrations and examples in both theoretical and practical sections. The course has provided an opportunity for me to learn and grow in communication sciences. Furthermore, this course has empowered me to expand my interest and practical work in programming. The course creator did a great job of keeping me, as a listener, engaged and motivated. Thank you.

  • S
    Shrirang Jangi
    5.0

    Good overview of state of the art.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed