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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


  • B

    Birla Institute of Technology & Science, Pilani

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Data Preprocessing, LLM Application, Semantic Web, Artificial Neural Networks, ChatGPT, Artificial Intelligence, Generative AI, Data Processing, Deep Learning, Model Training, Model Evaluation, Dependency Analysis

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Santa Barbara

    Revenue and Expense Recognition

    Skills you'll gain: Financial Statement Analysis, Financial Statements, Revenue Recognition, Generally Accepted Accounting Principles (GAAP), Financial Analysis, Accrual Accounting, Balance Sheet, Income Statement, Financial Reporting, Financial Accounting, Accounting, Depreciation, Fixed Asset, General Accounting, Expense Management, Operating Expense, Business Valuation, Asset Management

    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 (125) · Beginner · Project · Less Than 2 Hours

  • 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 (2.1K) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Building Multimodal Data Pipelines

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Data Processing, Data Pipelines, Image Analysis, Prompt Engineering, Unstructured Data, Natural Language Processing, Text Mining, Computer Vision, Vector Databases, Data Capture, Sampling (Statistics)

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Encoder-Decoder Architecture - 繁體中文

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Generative Model Architectures, Natural Language Processing, Model Training, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms, Data Transformation

    ★ 3.9 (60) · Beginner · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Encoder-Decoder Architecture - 简体中文

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Generative Model Architectures, Model Deployment, Model Training, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

1…567…105

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

  • Natural Language Processing: Birla Institute of Technology & Science, Pilani
  • Revenue and Expense Recognition: University of California, Santa Barbara
  • Open Source Models with Hugging Face: DeepLearning.AI
  • Teach English Now! Second Language Listening, Speaking, and Pronunciation: Arizona State University
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Building Multimodal Data Pipelines: DeepLearning.AI
  • Encoder-Decoder Architecture - 繁體中文: Google Cloud
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Facial Expression Recognition with PyTorch : Coursera

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