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    • Speech Recognition

    Speech Recognition Courses Online

    Master speech recognition technology for voice-activated systems. Learn to develop and implement speech-to-text applications.

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    Explore the Speech Recognition Course Catalog

    • S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, Expense Reports, AI Personalization, Image Analysis, Innovation, Brainstorming, Game Design, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology, Large Language Modeling, Computer Vision, Data Storytelling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, Cloud Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Advanced · Specialization · 1 - 3 Months

    • Y

      Yonsei University

      International Marketing & Cross Industry Growth

      Skills you'll gain: Business Marketing, Hospitality Management, Peer Review, Global Marketing, Marketing, Hospitality, Brand Management, B2B Sales, Customer Service, Innovation, Customer experience strategy (CX), Promotional Strategies, Strategic Marketing, Business-To-Consumer, Consumer Behaviour, Target Market, Market Share, Expectation Management, Growth Strategies, Digital Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Management

      Skills you'll gain: Mergers & Acquisitions, Working Capital, Revenue Recognition, Financial Statements, Credit Risk, Accrual Accounting, Financial Analysis, Investments, Corporate Finance, Business Valuation, Financial Statement Analysis, Cash Flows, Financial Accounting, Bookkeeping, Financial Management, Income Statement, Business Ethics, Finance, Return On Investment, Portfolio Management

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks

      4.1
      Rating, 4.1 out of 5 stars
      ·
      110 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yonsei University

      First Step Korean

      Skills you'll gain: Language Competency, Grammar, Vocabulary, Literacy, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      52K reviews

      Beginner · Course · 1 - 3 Months

    Speech Recognition learners also search

    Advanced Language
    NLP
    ChatGPT
    Advanced Python
    Advanced Google
    BERT
    Chatbot
    Translation
    1…456…85

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

    • Probabilistic Graphical Models: Stanford University
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • IA Para Todos (Español): DeepLearning.AI
    • Generative AI for Educators & Teachers: Vanderbilt University
    • Generative AI for Mobile App Developers: IBM
    • International Marketing & Cross Industry Growth: Yonsei University
    • Financial Management: University of Illinois Urbana-Champaign
    • Applied Data Science with Python: University of Michigan
    • Transformer Models and BERT Model: Google Cloud
    • Machine Learning: University of Washington

    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 refers to the process by which computer software translates human speech to a written, machine-readable format. This capability is used increasingly widely, in applications ranging from simple dictation and question-answering programs to tools for real-time foreign language translation and full-featured chatbots. Advanced speech recognition capabilities will be an important part of the future of computer software and mobile apps, allowing users to interact with software in an intuitive and hands-free way.

    While the history of speech recognition dates back to the 1960s, progress in this field has accelerated greatly in the past decade with the advent of machine learning and deep learning. The use of these algorithmic approaches have opened the door for robust natural language processing (NLP), which goes beyond the simple conversion of spoken words into text and allows programs to understand the meaning of those words - and respond appropriately, if desired. NLP will be at the forefront of artificial intelligence (AI) applications, playing a key role in the functionality of helpful digital assistants and virtual agents as well as advanced robotics.‎

    Speech recognition and natural language processing (NLP) programming skills are in high demand from a growing range of companies seeking to tap into this technology to create new products and services. Typically using Python programming and TensorFlow, machine learning and deep learning engineers with expertise in this field build models that analyze speech and language, discover contextual patterns, and produce insights and situationally appropriate responses. According to Glassdoor, NLP engineers earned an average annual salary of $114,121 as of November 2020.‎

    Yes! Coursera has a variety of opportunities to learn about topics in machine learning and deep learning, including courses specifically on speech recognition and natural language processing (NLP). You can learn from top-ranked institutions in the field, like Stanford University and deeplearning.ai, leading companies like Google Cloud, or even by completing step-by-step tutorials alongside experienced instructors as part of Coursera’s Guided Projects. No matter how you choose to learn, you’ll be able to view course materials and complete assignments on a flexible schedule, which allows you to fit this valuable education in speech recognition into your existing studies, work, or family life.‎

    The skills and experience you might need to already have before starting to learn speech recognition are right in front of you, in the form of your mobile device. You may already be using speech to text your friends and family. This is one of the clearest examples of speech recognition, and voice-to-text is an experience you are likely familiar with. You may also want to learn about voice-activated assistants, like Alexa, Siri, and Google Assistant. These three offer the latest technologies that may help you learn speech recognition.‎

    The kind of people that are best suited for roles in speech recognition are those technology professionals who understand how software drives speech recognition. Software creators write programs to process human speech into written words on a screen. Speech recognition works as it focuses on translating speech from a verbal format to a text-based format. These people who are best suited for roles in speech recognition likely are also well versed in or want to learn about programming languages and artificial intelligence.‎

    How do I know if learning speech recognition is right for me? You may know if learning speech recognition is right for you if you have a deep passion to work on the cutting edge of technology. Speech recognition technology has fast changed the way modern society communicates, and there is likely a great deal more learning that will come in this area. You may also want to use your software skills to write code to train computers in similar ways to how we train our own brains, using fundamental processes, innovative thinking, and data research. If you’re interested in learning speech recognition as a career, you might know that this is a field that is right for you.‎

    Some topics that are related to speech recognition may include natural language processing (NLP), deep learning neural networks, machine learning, and artificial intelligence. You may also want to dive into each of the main speech recognition technologies offered by the major tech companies like Amazon, Google, Apple, Facebook, and others.‎

    Online Speech Recognition courses offer a convenient and flexible way to enhance your knowledge or learn new Speech Recognition skills. Choose from a wide range of Speech Recognition courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Speech Recognition, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

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