processing and speech recognition. These models enabled more context-aware and semantically rich understanding of speech. In recent years, end-to-end speech recognition models have gained popularity. These models simplify the speech recognition pipeline by directly converting audio input into text output, bypassing intermediate steps like feature extraction and acoustic modeling. This approach has streamlined the development process and improved performance.

Techniques

Dynamic time warping

Dynamic time warping (DTW)

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