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Group delay spectrogram of speech signals without phase wrapping.

B Yegnanarayana1

  • 1International Institute of Information Technology, Hyderabad-500032, India.

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Summary
This summary is machine-generated.

This study introduces a novel group delay spectrogram method to visualize speech phase information without phase unwrapping. This technique reveals speech production features in phase data, enhancing speech signal analysis.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Speech Science

Background:

  • Phase information in speech signals is crucial for understanding speech production.
  • Traditional methods like short-time Fourier transform (STFT) often obscure phase details due to windowing effects.
  • Phase unwrapping is a complex process that can introduce artifacts.

Purpose of the Study:

  • To propose and validate a method for displaying speech phase information using group delay spectrograms.
  • To demonstrate that speech production features are observable in phase information via this new method.
  • To analyze the impact of time-frequency resolution on the visibility of these features.

Main Methods:

  • Development of a group delay spectrogram technique that avoids phase unwrapping.
  • Utilizing single-frequency filtering (SFF) to obtain the instantaneous complex SFF spectrum.
  • Employing a resonator at half the sampling frequency within the SFF process.
  • Analyzing speech signals with varying time-frequency resolutions.

Main Results:

  • The proposed method successfully displays phase information without requiring phase unwrapping.
  • Speech production features were observed in the group delay spectrogram.
  • The time-frequency resolution, controlled by resonator bandwidth, influences the display of speech features.
  • The SFF spectrum exhibits STFT-like characteristics without windowing truncation artifacts.

Conclusions:

  • The group delay spectrogram is an effective tool for visualizing speech phase information.
  • Phase information, when properly displayed, contains valuable insights into speech production mechanisms.
  • The SFF-based group delay spectrogram offers a promising alternative for speech analysis.