Substituting audio segments from secondary databases expands phonetic coverage for foreign words without requiring additional expensive recordings.
A voice output unit converts destination names into audible signals for operator confirmation.
Pitch variation training reduces the extensive audio data required for neural network speech generation.
Segmenting audio processing into full feature and energy-only phases reduces computational resource consumption while maintaining speech rhythm accuracy.
Extracting phase spectral data reduces database size while maintaining speech quality for memory-constrained devices.