Voice Technologies

Voice Technologies encompass a suite of computer science disciplines focused on enabling machines to understand, process, and generate human speech. Key components include Automatic Speech Recognition (ASR), which converts spoken language into text, and Text-to-Speech (TTS), which synthesizes artificial speech from text. These systems leverage complex algorithms from artificial intelligence, machine learning, and natural language processing to power a wide range of applications. Prominently featured in mobile technologies, they are the foundation for virtual assistants like Siri and Google Assistant, hands-free device control, and interactive voice response (IVR) systems, fundamentally changing how users interact with their devices.

  1. Introduction to Voice Technologies
    1. Defining Voice User Interfaces
      1. Core Characteristics of VUIs
        1. Comparison with Graphical User Interfaces
          1. Advantages and Limitations of Voice Interaction
            1. Common Use Cases and Applications
            2. Historical Development of Speech Technology
              1. Early Speech Synthesis Experiments
                1. First Speech Recognition Systems
                  1. Commercial Breakthrough Products
                    1. Evolution from Research to Consumer Applications
                      1. Key Milestones and Timeline
                      2. Architecture of Voice Systems
                        1. System Components Overview
                          1. Data Flow in Voice Applications
                            1. Integration Patterns
                              1. Cloud vs Edge Processing Models
                              2. Core Technologies
                                1. Automatic Speech Recognition
                                  1. Text-to-Speech Synthesis
                                    1. Spoken Language Understanding
                                      1. Natural Language Processing Integration
                                      2. Foundational Disciplines
                                        1. Digital Signal Processing
                                          1. Computational Linguistics
                                            1. Machine Learning and AI
                                              1. Human-Computer Interaction
                                                1. Acoustic Engineering