Advanced Speech Recognition Systems
( 25 Modules )

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

Module #2
Speech Recognition Fundamentals
Acoustics, phonetics, and phonology of speech

Module #3
Types of Speech Recognition Systems
Overview of speaker-dependent, speaker-independent, and language-dependent systems

Module #4
Speech Signal Processing
Pre-processing techniques, feature extraction, and normalization

Module #5
Acoustic Modeling
Overview of acoustic models, Gaussian mixture models, and hidden Markov models

Module #6
Language Modeling
N-gram models, statistical language modeling, and smoothing techniques

Module #7
Decoding and Search Algorithms
Viterbi algorithm, beam search, and A* search

Module #8
Deep Learning for Speech Recognition
Introduction to deep neural networks for speech recognition

Module #9
Convolutional Neural Networks for Speech Recognition
CNN architectures for speech recognition

Module #10
Recurrent Neural Networks for Speech Recognition
RNN, LSTM, and GRU architectures for speech recognition

Module #11
Attention Mechanism for Speech Recognition
Introduction to attention mechanisms and their applications in speech recognition

Module #12
Transfer Learning and Fine-Tuning
Pre-trained models and fine-tuning for speech recognition tasks

Module #13
End-to-End Speech Recognition
Sequence-to-sequence models and attention-based end-to-end speech recognition

Module #14
Multi-Task Learning for Speech Recognition
Joint training of multiple tasks and their applications in speech recognition

Module #15
Robustness and Adaptation
Noise robustness, speaker adaptation, and domain adaptation techniques

Module #16
Language and Accent Adaptation
Adapting speech recognition systems to new languages and accents

Module #17
Dialect and Emotional Speech Recognition
Recognizing speech in different dialects and emotional states

Module #18
Speaker Diarization and Identification
Identifying and diarizing speakers in multi-speaker environments

Module #19
Speech Enhancement and Separation
Enhancing and separating speech signals from noisy environments

Module #20
Evaluation Metrics and Tools
Metrics for evaluating speech recognition systems and tools for analysis

Module #21
Real-World Applications of Speech Recognition
Speech recognition in virtual assistants, voice-controlled devices, and healthcare

Module #22
Ethical Considerations and Bias
Ethical considerations and bias in speech recognition systems

Module #23
State-of-the-Art Systems and Research
Overview of recent advancements and research directions in speech recognition

Module #24
Case Studies and Project Development
Developing and deploying speech recognition systems for real-world applications

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

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Advanced Speech Recognition Systems ( 25 Modules )

Advanced Speech Recognition Systems
( 25 Modules )