Deep Learning Approaches to Speech Recognition
( 25 Modules )

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

Module #2
History of Speech Recognition
Evolution of speech recognition from traditional methods to deep learning approaches

Module #3
Deep Learning Fundamentals
Introduction to deep learning concepts, including neural networks, activation functions, and backpropagation

Module #4
Types of Deep Learning Models for Speech Recognition
Overview of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks

Module #5
Acoustic Features for Speech Recognition
Introduction to acoustic features, including Mel-Frequency Cepstral Coefficients (MFCCs), spectrograms, and filterbanks

Module #6
Data Preparation for Speech Recognition
Preparing speech data for deep learning models, including data augmentation, normalization, and feature extraction

Module #7
Convolutional Neural Networks (CNNs) for Speech Recognition
Applying CNNs to speech recognition, including architectures and training techniques

Module #8
Recurrent Neural Networks (RNNs) for Speech Recognition
Applying RNNs to speech recognition, including simple RNNs, LSTMs, and GRUs

Module #9
Connectionist Temporal Classification (CTC) Loss Function
Understanding the CTC loss function and its application to speech recognition

Module #10
Encoder-Decoder Architectures for Speech Recognition
Applying encoder-decoder architectures, including sequence-to-sequence models and attention mechanisms

Module #11
Attention Mechanisms for Speech Recognition
Understanding attention mechanisms and their application to speech recognition

Module #12
Language Models for Speech Recognition
Applying language models to speech recognition, including n-gram models and recurrent neural networks

Module #13
Deep Learning Architectures for Speech Enhancement
Applying deep learning models to speech enhancement, including denoising and dereverberation

Module #14
Transfer Learning for Speech Recognition
Applying transfer learning to speech recognition, including pre-trained models and fine-tuning

Module #15
End-to-End Speech Recognition
Building end-to-end speech recognition systems using deep learning models

Module #16
Evaluating Speech Recognition Systems
Evaluating speech recognition performance using metrics such as Word Error Rate (WER) and Character Error Rate (CER)

Module #17
Real-World Applications of Deep Learning in Speech Recognition
Exploring real-world applications of deep learning in speech recognition, including virtual assistants and speech-to-text systems

Module #18
Challenges and Future Directions in Deep Learning for Speech Recognition
Discussing challenges and future directions in deep learning for speech recognition

Module #19
Implementing Deep Learning Models for Speech Recognition using PyTorch
Implementing deep learning models for speech recognition using PyTorch

Module #20
Implementing Deep Learning Models for Speech Recognition using TensorFlow
Implementing deep learning models for speech recognition using TensorFlow

Module #21
Speech Recognition in Noisy Environments
Addressing speech recognition in noisy environments, including robustness and noise robustness techniques

Module #22
Multilingual and Low-Resource Speech Recognition
Addressing multilingual and low-resource speech recognition, including techniques for adapting models to new languages and dialects

Module #23
Domain Adaptation for Speech Recognition
Addressing domain adaptation for speech recognition, including adapting models to new domains and environments

Module #24
Privacy and Security in Deep Learning-based Speech Recognition
Addressing privacy and security concerns in deep learning-based speech recognition systems

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Deep Learning Approaches to Speech Recognition 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

Deep Learning Approaches to Speech Recognition ( 25 Modules )

Deep Learning Approaches to Speech Recognition
( 25 Modules )