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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


  • G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Digital Media Strategy, Performance Metric, Search Engine Marketing, Conversion Funnel Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Digital Marketing, Customer Engagement, Marketing Planning, Marketing Strategies, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Performance marketing

    ★ 4.8 (31K) · Beginner · Course · 1 - 4 Weeks

    Category: Bestseller
    Bestseller
  • U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Image Analysis, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

    ★ 4.4 (59) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Voice AI: Introduction to Building Voice Applications

    Skills you'll gain: Case Studies, Experience Design, Business Solutions, User Experience Design, User Experience, Natural Language Processing, Application Programming Interface (API), Interaction Design, Application Deployment, AI Integrations, Application Development, Artificial Intelligence, Systems Integration, Scalability, Software Testing

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis

    ★ 4.6 (1.4K) · Advanced · Course · 1 - 3 Months

  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    ★ 4.4 (199) · Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master Revenue Recognition with IFRS 15 & ASC 606

    Skills you'll gain: Revenue Recognition, International Financial Reporting Standards, Financial Reporting, Contract Accounting, Generally Accepted Accounting Principles (GAAP), Financial Accounting, Technical Accounting, Franchising

    ★ 4.9 (15) · Mixed · Course · 1 - 4 Weeks

  • S

    SkillsBooster Academy

    AI Sound Generation for Business Communication

    Skills you'll gain: AI Product Strategy, Generative AI, Brand Strategy, Content Creation, Brand Awareness, Social Media Content, Media Production, Storytelling, Marketing Communications, Business Communication, Digital Design, Creative Thinking, Influencing, Media and Communications, Business Ethics, Creative Problem-Solving, Customer Engagement, Business Transformation, Entrepreneurship, Digital Marketing

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Natural Language Processing on Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Cloud API, Feature Engineering, Model Training

    ★ 4.4 (540) · Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    ★ 4.6 (304) · Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    ★ 4.6 (489) · Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture

    ★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

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

  • Foundations of Digital Marketing and E-commerce: Google
  • AI for Autonomous Vehicles and Robotics: University of Michigan
  • Voice AI: Introduction to Building Voice Applications: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Master Revenue Recognition with IFRS 15 & ASC 606: EDUCBA
  • AI Sound Generation for Business Communication: SkillsBooster Academy
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Natural Language Processing on Google Cloud: Google Cloud
  • Probabilistic Graphical Models 3: Learning: Stanford University

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