Speech Recognition with Python
Master speech recognition—the technology that enables machines to understand human speech by converting voice into readable data. Utilize Python speech recognition tools to transcribe audio to text with cutting-edge AI models.
$99.00
Lifetime access
What you get:
- 3 hours of content
- 62 Interactive exercises
- 7 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Speech Recognition with Python
$99.00
Lifetime access
What you get:
- 3 hours of content
- 62 Interactive exercises
- 7 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
What you get:
- 3 hours of content
- 62 Interactive exercises
- 7 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Master the basics of audio and signal processing to fully grasp speech-to-text technology
- Understand how machines (and humans) process and interpret speech
- Transform unstructured audio data into text for actionable insights
- Explore how advanced deep learning techniques like Transformers can power the speech recognition pipeline
- Enhance your portfolio with advanced AI skills, utilizing tools like Google Web Speech API and Whisper AI transcription for speech-to-text conversions in Python
- Implement AI-powered text-to-speech directly in Jupyter Notebook
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
Our Speech Recognition with Python course explores the technology that powers modern voice-activated systems and AI tools like virtual assistants, automated transcription devices, and home devices. We break down the theory behind speech recognition, covering Python audio processing and machine learning aspects in an easy-to-understand format. Along the way, we demonstrate the use of the librosa library, showing you how to perform essential audio processing tasks that are key to preparing sound data for analysis. You’ll gain hands-on experience as you implement speech-to-text tools using cutting-edge AI models like OpenAI’s Whisper and Google’s Web Speech API. Additionally, you'll explore the appropriate use of popular speech recognition toolkits like Assembly AI, Meta's Wav2Letter, Mozilla DeepSpeech, and cloud-based solutions, such as Amazon Transcribe and Azure Speech, considering accessibility and costs. This speech recognition course unravels the behind-the-scenes processes that drive speech recognition. We explain how various methodologies operate—from audio feature extraction and noise cleaning to deep learning and transformers. We also cover essential audio concepts, including sound wave properties, analog-to-digital conversion, acoustics fundamentals, and aspects of human hearing. By the end of the course, you'll be fully equipped with the skills to examine the speech recognition technology in greater depth and understand the fundamentals needed to build your own AI-powered model. This course—tailored for data analysts, scientists, audio engineers, AI enthusiasts, and anyone with a curious mind—demonstrates how to convert sound files into structured, text-based outputs for analysis. Whether you’re working with audio data or exploring AI, the Speech Recognition with Python course equips you with the knowledge to effectively transform audio into actionable insights.
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2.1 How Do Humans Recognize Speech?
3 min
2.3 Fundamentals of Sound and Sound Waves
3 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
Topics
Course Requirements
- Basic Understanding of Python
- Familiarity with Machine Learning and AI
Who Should Take This Course?
Level of difficulty: Intermediate
- Data professionals expanding skills into Python-based speech-to-text
- Aspiring data analysts and scientists focused on audio data
- AI and machine learning engineers exploring speech recognition systems
- Audio enthusiasts interested in sound and AI intersections
- Developers aiming to incorporate speech recognition in projects
- Musicians and sound engineers using AI for audio processing and transcription
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Ivan has a background in systems and sound engineering, along with information technologies and communications. In addition, he has professional experience in the media production industry and telecommunications. Ivan believes the value of data is growing every day, and it will soon be the biggest commodity in the world. He describes himself as “forward-looking and visionary”. Besides data analysis, data collection, and Python programming, he is passionate about artificial intelligence, signal processing, sound design, acoustics, and music. He sees these subjects as interconnected, and his work goal is to keep the balance between science and arts.
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