Speech Processing and Synthesis
( 25 Modules )

Module #1
Introduction to Speech Processing
Overview of speech processing, its applications, and importance

Module #2
Human Speech Production and Perception
Anatomy and physiology of human speech production, speech perception, and the auditory system

Module #3
Acoustic Phonetics
Acoustic properties of speech sounds, phonetic transcription, and speech signal representation

Module #4
Signal Processing Fundamentals
Review of signal processing concepts:time and frequency domains, filtering, and Fourier transform

Module #5
Speech Signal Processing
Pre-processing techniques for speech signals:filtering, normalization, and feature extraction

Module #6
Speech Feature Extraction
Feature extraction techniques for speech signals:Mel-Frequency Cepstral Coefficients (MFCCs), Linear Predictive Coding (LPC), and others

Module #7
Speech Enhancement
Techniques for speech enhancement:noise reduction, echo cancellation, and dereverberation

Module #8
Speech Recognition Fundamentals
Overview of speech recognition, types of speech recognition, and speech recognition systems

Module #9
Acoustic Models for Speech Recognition
Acoustic models for speech recognition:Hidden Markov Models (HMMs), Gaussian Mixture Models (GMMs), and Deep Neural Networks (DNNs)

Module #10
Language Models for Speech Recognition
Language models for speech recognition:n-gram models, statistical language models, and neural language models

Module #11
Speech Recognition Systems
Overview of speech recognition systems:architecture, decoding, and post-processing

Module #12
Speech Synthesis Fundamentals
Overview of speech synthesis, types of speech synthesis, and speech synthesis systems

Module #13
Text-to-Speech (TTS) Systems
Architecture and components of TTS systems:text analysis, prosody generation, and speech synthesis

Module #14
Unit Selection Synthesis
Unit selection synthesis:concept, techniques, and applications

Module #15
Statistical Parametric Synthesis
Statistical parametric synthesis:HMM-based synthesis, GMM-based synthesis, and DNN-based synthesis

Module #16
Deep Learning for Speech Synthesis
Deep learning techniques for speech synthesis:WaveNet, Conv-TTS, and others

Module #17
Speech Emotion Recognition
Speech emotion recognition:concept, techniques, and applications

Module #18
Speech Processing for Emotion and Sentiment Analysis
Speech processing techniques for emotion and sentiment analysis:acoustic features, prosody analysis, and multimodal fusion

Module #19
Speech Disorder Diagnosis and Therapy
Speech processing applications in speech disorder diagnosis and therapy:automatic speech recognition, speech therapy systems, and others

Module #20
Speech Processing for Multilingual and Multimodal Interactions
Speech processing techniques for multilingual and multimodal interactions:language identification, multimodal fusion, and others

Module #21
Speech Enhancement for Robustness
Speech enhancement techniques for robustness:noise robustness, reverberation robustness, and others

Module #22
Real-World Applications of Speech Processing
Real-world applications of speech processing:voice assistants, speech-to-text systems, and others

Module #23
Evaluating Speech Processing Systems
Evaluating speech processing systems:metrics, evaluation protocols, and best practices

Module #24
Challenges and Future Directions in Speech Processing
Challenges and future directions in speech processing:open problems, emerging trends, and research opportunities

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Speech Processing and Synthesis career

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Speech Processing and Synthesis ( 25 Modules )

Speech Processing and Synthesis
( 25 Modules )