Introduction to Speech Recognition Programming
( 25 Modules )

Module #1
Introduction to Speech Recognition
Overview of speech recognition, its history, and applications

Module #2
Speech Recognition Fundamentals
Understanding human speech, acoustic signals, and phonetics

Module #3
Types of Speech Recognition
Isolated word, connected word, and continuous speech recognition

Module #4
Speech Recognition Systems
Overview of speech recognition systems, including acoustic models and language models

Module #5
Acoustic Models
Understanding acoustic models, including Gaussian Mixture Models and Deep Neural Networks

Module #6
Language Models
Understanding language models, including N-gram models and Recurrent Neural Networks

Module #7
Speech Feature Extraction
Extracting features from speech signals, including Mel-Frequency Cepstral Coefficients

Module #8
Introduction to Kaldi
Overview of the Kaldi toolkit for speech recognition research and development

Module #9
Setting up a Speech Recognition Environment
Installing and setting up a speech recognition environment, including Kaldi and Python

Module #10
Recording and Preprocessing Audio
Recording and preprocessing audio for speech recognition, including noise reduction and normalization

Module #11
Building an Acoustic Model
Building an acoustic model using Kaldi, including training and testing

Module #12
Building a Language Model
Building a language model using Kaldi, including training and testing

Module #13
Decoding and Recognition
Decoding and recognition using Kaldi, including Viterbi decoding and beam search

Module #14
Evaluating Speech Recognition Systems
Evaluating speech recognition systems, including Word Error Rate and Sentence Error Rate

Module #15
Handling Out-of-Vocabulary Words
Handling out-of-vocabulary words in speech recognition, including subword modeling and confidence scoring

Module #16
Handling Noisy Audio
Handling noisy audio in speech recognition, including noise robustness and adaptation techniques

Module #17
Speech Recognition for Specific Domains
Speech recognition for specific domains, including medical, financial, and customer service applications

Module #18
Building Conversational Interfaces
Building conversational interfaces using speech recognition, including intent detection and dialogue management

Module #19
Ethical Considerations in Speech Recognition
Ethical considerations in speech recognition, including bias, privacy, and fairness

Module #20
Advanced Topics in Speech Recognition
Advanced topics in speech recognition, including end-to-end models and attention mechanisms

Module #21
Real-World Applications of Speech Recognition
Real-world applications of speech recognition, including voice assistants, transcription services, and accessibility tools

Module #22
Project Development
Developing a speech recognition project, including data preparation, model training, and deployment

Module #23
Troubleshooting and Debugging
Troubleshooting and debugging speech recognition systems, including common errors and solutions

Module #24
Future Directions in Speech Recognition
Future directions in speech recognition research and development

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Introduction to Speech Recognition Programming career

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Introduction to Speech Recognition Programming ( 25 Modules )

Introduction to Speech Recognition Programming
( 25 Modules )