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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

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - 繁體中文

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Advanced ML Algorithms & Unsupervised Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Supervised Learning, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Português Brasileiro

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O Cloud AI Developer Services

      Skills you'll gain: Large Language Modeling, Image Analysis, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Natural Language Processing, Document Management, Software Development Tools, Data Integration, Deep Learning

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI

      Skills you'll gain: Swift Programming, Apple iOS, Apple Xcode, UI Components, Mobile Development, User Interface (UI), Figma (Design Software), Color Theory, API Design, Development Environment, Animations, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Português Brasileiro

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      AWS: IoT, Machine Learning and Blockchain

      Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Bahasa Indonesia

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Harnessing Ollama – Create Local LLMs with Python

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Python Programming, Command-Line Interface, Natural Language Processing, Data Store, Application Development, Application Programming Interface (API), Restful API, Development Environment, System Requirements, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - בעברית

      Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Italiano

      Skills you'll gain: Image Analysis, Deep Learning, Data Modeling, Computer Vision, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

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

    • Create Image Captioning Models - 繁體中文: Google Cloud
    • Advanced ML Algorithms & Unsupervised Learning: Packt
    • Encoder-Decoder Architecture - Português Brasileiro: Google Cloud
    • H2O Cloud AI Developer Services: H2O.ai
    • SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI: Packt
    • Create Image Captioning Models - Português Brasileiro: Google Cloud
    • AWS: IoT, Machine Learning and Blockchain: Whizlabs
    • Create Image Captioning Models - Bahasa Indonesia: Google Cloud
    • Harnessing Ollama – Create Local LLMs with Python: Packt
    • Attention Mechanism - בעברית: Google Cloud

    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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