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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


  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • A

    Arizona State University

    Teach English Now! Second Language Listening, Speaking, and Pronunciation

    Skills you'll gain: Oral Comprehension, Teaching, English Language, Language Competency, Language Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Code Reusability, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • 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
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, Generative AI, Embeddings, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Image Analysis, User Interface (UI), API Design, Fine-tuning, Computer Vision

    4.8
    Rating, 4.8 out of 5 stars
    ·
    114 reviews

    Beginner · Project · Less Than 2 Hours

  • 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
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, LLM Application, Generative Model Architectures

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Conversation Design for Chatbots & Voice Assistants

    Skills you'll gain: Persona (User Experience), User Interface (UI), Prompt Engineering, Interaction Design, Usability, User Experience Design, Responsible AI, Human Centered Design, Human Computer Interaction, Design Research, User Flows, Usability Testing, Context Management, Multimodal Prompts, User Research, Prototyping, Technical Communication, User Requirements Documents, Data Ethics, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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

  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Teach English Now! Second Language Listening, Speaking, and Pronunciation: Arizona State University
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Open Source Models with Hugging Face: DeepLearning.AI
  • Probabilistic Graphical Models 1: Representation: Stanford University

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