Formant extraction from group delay function
Speech Communication
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Short-time phase spectrum in speech processing: A review and some experimental results
Digital Signal Processing
Performance evaluation and comparison of ITU-T/ETSI voice activity detectors
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Significance of joint features derived from the modified group delay function in speech processing
EURASIP Journal on Audio, Speech, and Music Processing
The importance of phase in speech enhancement
Speech Communication
Significance of the Modified Group Delay Feature in Speech Recognition
IEEE Transactions on Audio, Speech, and Language Processing
Robust Voice Activity Detection Using Long-Term Signal Variability
IEEE Transactions on Audio, Speech, and Language Processing
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This paper demonstrates the robustness of group delay based features to additive noise. First, we analytically show the robustness of group delay based representations. The analysis makes use of the fact that, for minimum-phase signals, the group delay function can be represented in terms of the cepstral coefficients of the log-magnitude spectrum. Such a representation results in the speech spectrum dominating over the noise spectrum, both at low and high SNRs. Further, we experimentally demonstrate the robustness of the representation on a voice activity detection (VAD) task, comparing a group delay based VAD algorithm with standard VAD methods as well as a magnitude-spectrum based method.