Advanced Speech Recognition Techniques
( 25 Modules )

Module #1
Introduction to Speech Recognition
Overview of speech recognition, its applications, and the importance of advanced techniques.

Module #2
Acoustic Modeling Fundamentals
Review of acoustic modeling basics, including Gaussian mixture models and hidden Markov models.

Module #3
Deep Neural Networks for Acoustic Modeling
Introduction to using deep neural networks for acoustic modeling, including convolutional and recurrent neural networks.

Module #4
Transfer Learning in Speech Recognition
Exploring the use of transfer learning to adapt pre-trained models for speech recognition tasks.

Module #5
Language Modeling Fundamentals
Review of language modeling basics, including n-gram models and statistical language models.

Module #6
Neural Language Models for Speech Recognition
Introduction to using neural networks for language modeling, including recurrent and transformer-based models.

Module #7
Integration of Acoustic and Language Models
Exploring techniques for integrating acoustic and language models for speech recognition.

Module #8
Advanced Feature Extraction Techniques
Exploring advanced feature extraction techniques, including filterbanks and spectrograms.

Module #9
Signal Processing for Robust Speech Recognition
Techniques for robust speech recognition, including noise reduction and echo cancellation.

Module #10
Speaker Adaptation and Normalization
Exploring techniques for speaker adaptation and normalization, including vocal tract length normalization.

Module #11
Multichannel Speech Recognition
Exploring techniques for multichannel speech recognition, including beamforming and microphone arrays.

Module #12
Keyword Spotting and Speech Tagging
Introduction to keyword spotting and speech tagging, including techniques for detecting specific words or phrases.

Module #13
Emotion and Sentiment Analysis in Speech
Exploring techniques for emotion and sentiment analysis in speech, including acoustic and lexical features.

Module #14
Speaker Diarization and Identification
Introduction to speaker diarization and identification, including techniques for tracking speaker turns and identifying speakers.

Module #15
Conversational Speech Recognition
Exploring challenges and techniques for conversational speech recognition, including dialogue management and turn-taking.

Module #16
Speech Recognition for Low-Resource Languages
Exploring techniques for speech recognition in low-resource languages, including data augmentation and transfer learning.

Module #17
End-to-End Speech Recognition Models
Introduction to end-to-end speech recognition models, including sequence-to-sequence and attention-based models.

Module #18
Attention Mechanisms in Speech Recognition
Exploring the role of attention mechanisms in speech recognition, including attention-based sequence-to-sequence models.

Module #19
Domain Adaptation and Robustness in Speech Recognition
Techniques for domain adaptation and robustness in speech recognition, including domain invariant feature extraction.

Module #20
Explainability and Interpretability in Speech Recognition
Exploring techniques for explainability and interpretability in speech recognition, including model interpretability and feature importance.

Module #21
Adversarial Attacks and Defense in Speech Recognition
Exploring adversarial attacks and defense techniques in speech recognition, including robustness to audio adversaries.

Module #22
Speech Enhancement and Separation
Techniques for speech enhancement and separation, including speech dereverberation and speech separation.

Module #23
Multimodal Speech Recognition
Exploring techniques for multimodal speech recognition, including fusion of audio and visual cues.

Module #24
Real-World Applications of Advanced Speech Recognition
Case studies of advanced speech recognition in real-world applications, including virtual assistants and speech-to-text systems.

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Speech Recognition Techniques career

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Advanced Speech Recognition Techniques ( 25 Modules )

Advanced Speech Recognition Techniques
( 25 Modules )