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What does voice-processing technology support today?
Summary
This paper reviews current voice-processing technologies, covering hardware and software for speech recognition and synthesis. It also explores algorithm applications, evaluation methods, and robustness in challenging conditions.
Area of Science:
- Computer Science
- Electrical Engineering
- Signal Processing
Background:
- Voice-processing technologies are integral to modern human-computer interaction.
- Advancements in hardware and software are crucial for developing sophisticated speech applications.
- Understanding the state of the art in algorithms is essential for practical implementation.
Purpose of the Study:
- To provide a comprehensive overview of current voice-processing technologies.
- To detail hardware and software aspects relevant to speech recognition and synthesis.
- To analyze the application, evaluation, and robustness of speech algorithms.
Main Methods:
- Description of hardware technologies including microprocessors and Digital Signal Processors (DSPs).
- Discussion of software development environments for applications ranging from DSP software to support software.
- Analysis of speech recognition and synthesis algorithms from an application perspective.
Main Results:
- The paper outlines key hardware and software technologies enabling voice processing.
- It details the current state of speech recognition and synthesis algorithms.
- Challenges in algorithm evaluation and robustness in adverse conditions are addressed.
Conclusions:
- The study highlights the critical role of integrated hardware and software solutions in voice processing.
- It emphasizes the importance of robust and well-evaluated algorithms for real-world applications.
- This review serves as a guide to the state of the art in voice-processing technology applications.