Quantization noise is an important concept in speech processing applications. It events during thee analog- to-digital conversion process when n continuous signals are approximated by disproporte levels. Understanding this noise helps improwize thee quality of digital speech systems.

Co to jest?

Quantization noise is the error introduced when a continuous amplitude signal is mapped to a finite set of levels. This process results in a difference between thee original and thee quantized signal, which che appacars as noise in thee system.

Impact on Speech Quality

Quantization noise can degrade speech quality by adding unwanted artifacts. The level of noise depends on the number of quantization levels; more levels generally reduce noise but require more data bandwidth.

Methods to Minimize Quantization Noise

  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Increasing bit depth: Xi1; Xi1; FLT: 1 Xi3; Xion3; Vyng more bits per sample reduces the quantization step size, lowering noise.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Noise shaping: Xi1; Xi1; FLT: 1 Xi3; Xi3; Techniques that push quantization noise to less audible frequency ranges.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Dither addition: Xi1; FLT: 1 Xi3; Xi3; Adding a small contribut of noise before quantization to o mask quantization errors.