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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


  • Status: New
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    Packt

    Modern Natural Language Processing

    Skills you'll gain: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models

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

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

    Advanced · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
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    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

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    University of Glasgow

    Generative Pre-trained Transformers (GPT)

    Skills you'll gain: Large Language Modeling, ChatGPT, LLM Application, Generative AI, Generative Model Architectures, Natural Language Processing, Risk Management Framework, Prompt Engineering, Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
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    33 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Generative AI in Customer Service Operations Training

    Skills you'll gain: AI Personalization, Responsible AI, Data Ethics, Customer experience improvement, User Feedback, Generative AI, Self Service Technologies, Personalized Service, ChatGPT, Customer Support, Customer Service, Customer Analysis, Customer Insights, Automation, Customer Engagement, Artificial Intelligence, Ethical Standards And Conduct, Natural Language Processing, Data Security

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
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    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Simplilearn

    Gen AI Using Hugging Face Training

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, LLM Application, Applied Machine Learning, Data Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Natural Language Processing, Generative AI, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    31K reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to speech recognition

ai applications: computer vision and speech recognition
mastering ai: neural nets, vision system, speech recognition
1…456…99

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

  • Modern Natural Language Processing: Packt
  • Probabilistic Graphical Models: Stanford University
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Generative Pre-trained Transformers (GPT): University of Glasgow
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Generative AI in Customer Service Operations Training: Simplilearn
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera

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