• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Degrees
​
Log In
Join for Free
  • Browse
  • Speech Recognition

Speech Recognition Courses

Speech recognition courses can help you learn the fundamentals of audio processing, language modeling, and transcription techniques. You can build skills in feature extraction, acoustic modeling, and implementing neural networks for voice recognition. Many courses introduce tools like Python libraries, TensorFlow, and Kaldi, that support developing speech recognition systems and applying AI to enhance user interactions in applications such as virtual assistants and automated transcription services.

Popular Speech Recognition Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference

    3.8
    Rating, 3.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Dimensionality Reduction, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    126 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Mastering AWS Managed AI Services & Responsible AI

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: AI Services

    Skills you'll gain: AI Personalization, Amazon Web Services, Image Analysis, Artificial Intelligence, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Text Mining, AI Workflows, AI Integrations, Applied Machine Learning, Unstructured Data

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Applied Machine Learning, Text Mining, Dimensionality Reduction, Large Language Modeling, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    U

    University of Colorado Boulder

    Reasoning Under Uncertainty

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Reinforcement Learning, Probability, Probability & Statistics, Decision Intelligence, Probability Distribution, Markov Model, Agentic systems, Artificial Intelligence, Machine Learning Methods, Statistical Inference, Applied Machine Learning, Statistical Machine Learning, Time Series Analysis and Forecasting, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Semantic Web, Data Preprocessing, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Processing, Artificial Intelligence, Artificial Neural Networks, Statistical Machine Learning, Generative AI, Deep Learning, Model Training, Dependency Analysis, Model Evaluation

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

1234…109

In summary, here are 10 of our most popular speech recognition courses

  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • Natural Language Processing with Real-World Projects: Packt
  • Transformer Models and BERT Model: Google Cloud
  • Mastering AWS Managed AI Services & Responsible AI: Whizlabs
  • AWS: AI Services: Whizlabs
  • Deep Learning: DeepLearning.AI
  • Natural Language Processing: DeepLearning.AI
  • Vision & Audio AI Systems: Coursera
  • Probabilistic Graphical Models: Stanford University

Skills you can learn in Design And Product

User Interface (18)
User Experience (16)
Software Testing (13)
Game Design (11)
Agile Software Development (10)
Graphics (10)
Virtual Reality (9)
Design Thinking (8)
Web (8)
Video Game Development (7)
Web Design (7)
Adobe Photoshop (6)

Frequently Asked Questions about Speech Recognition

Speech recognition is a technology that enables machines to understand and process human speech. It converts spoken language into text, allowing for a range of applications from virtual assistants to transcription services. The importance of speech recognition lies in its ability to enhance accessibility, streamline communication, and improve user experience across various platforms. As more industries adopt this technology, understanding speech recognition becomes crucial for professionals looking to stay relevant in a rapidly evolving digital landscape.‎

Careers in speech recognition span various fields, including technology, healthcare, and education. Potential job roles include speech recognition engineer, data scientist specializing in natural language processing, and software developer for voice-activated applications. Additionally, positions in user experience design and accessibility consulting are also available, as companies seek to create more inclusive products. With the growing demand for voice technology, opportunities in this area are expanding.‎

To pursue a career in speech recognition, you should develop a blend of technical and analytical skills. Key areas include programming languages such as Python, understanding machine learning algorithms, and familiarity with natural language processing (NLP). Additionally, knowledge of audio signal processing and data analysis can be beneficial. Soft skills, such as problem-solving and effective communication, are also important as they enable collaboration in multidisciplinary teams.‎

Some of the best online courses for learning about speech recognition include the Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization and the AI Applications: Computer Vision and Speech Recognition. These courses provide foundational knowledge and practical skills necessary for working with speech recognition technologies.‎

Yes. You can start learning speech recognition on Coursera for free in two ways:

  1. Preview the first module of many speech recognition courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in speech recognition, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn speech recognition, start by exploring online courses that cover the fundamentals of the technology. Engage with interactive content, participate in discussions, and work on practical projects to reinforce your understanding. Additionally, consider joining online communities or forums where you can connect with others interested in speech recognition. This collaborative approach can enhance your learning experience and provide valuable insights.‎

Typical topics covered in speech recognition courses include the basics of audio processing, machine learning techniques, natural language processing, and the development of speech recognition systems. You may also explore advanced topics such as deep learning applications in speech recognition and the ethical considerations surrounding voice technology. These subjects provide a comprehensive understanding of how speech recognition works and its applications.‎

For training and upskilling employees in speech recognition, consider courses like the AI Workflow: Machine Learning, Visual Recognition and NLP. Such programs are designed to equip professionals with the necessary skills to implement speech recognition technologies effectively in their organizations. These courses can help enhance productivity and innovation within the workforce.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Accounting
  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • Human Resources (HR)
  • Microsoft Excel
  • Project Management
  • Python
  • SQL

Professional Certificates

  • Google AI Certificate
  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM AI Engineering Certificate
  • IBM AI Product Manager Certificate
  • IBM Data Science Certificate
  • Intuit Academy Bookkeeping Certificate

Courses & Specializations

  • AI Essentials Specialization
  • AI For Business Specialization
  • AI For Everyone Course
  • AI in Healthcare Specialization
  • Deep Learning Specialization
  • Excel Skills for Business Specialization
  • Financial Markets Course
  • Machine Learning Specialization
  • Prompt Engineering for ChatGPT Course
  • Python for Everybody Specialization

Career Resources

  • Career Aptitude Test
  • CAPM Certification Requirements
  • CompTIA A+ Certification Requirements
  • CompTIA Security+ Certification Requirements
  • Essential IT Certifications
  • High-Income Skills to Learn
  • How to Learn Artificial Intelligence
  • PMP Certification Requirements
  • Popular Cybersecurity Certifications
  • Share your Coursera learning story

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Udemy

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Do Not Sell/Share
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2026 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok