SWAN

SWAN stands for Sequential Waveform Analysis, a computer-based method used in speech processing to analyze and interpret spoken language. It works by breaking down audio signals into smaller components called waveforms, then examining their patterns and sequences. This approach helps improve speech recognition, speaker identification, and voice analysis by providing detailed insights into the timing and structure of speech sounds. Essentially, SWAN enhances the understanding of speech signals, making it valuable for applications like virtual assistants, transcription services, and communication devices. It’s a sophisticated tool that improves how machines interpret human speech accurately.