Speech Bandwidth Extension Using Spectral Data Masking
摘要
Voice quality and understandability are both diminished by the telephone systems’ limited voice bandwidth. The innovative speech bandwidth enhancement approach is suggested in this paper. To deliver a superior broad-band voice signal, the methodology employs a spectral data masking approach. The restricted band speech signal conceals the missing speech's code-excited linear prediction (CELP) parameters. At the other end, the missing speech is retrieved to create a broad-band voice signal. The suggested approach is resilient to quantization and channel disturbances, according to theoretical and simulation evaluations. The obtained findings support the suggested method's superior reconstructed broad-band speech quality to conventional approaches.