Reverberant speech enhancement by temporal and spectral processing

Authors:
P. Krishnamoorthy;S. R. Mahadeva Prasanna
Affiliations:
Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India;Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2009

Citing 11
Cited 3

Discrete-time signal processing

Discrete-time signal processing
The Modulation Spectrogram: In Pursuit of an Invariant Representation of Speech

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Reverberant speech enhancement using cepstral processing

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Springer Handbook of Speech Processing

Springer Handbook of Speech Processing
Dereverberation by using time-variant nature of speech production system

EURASIP Journal on Advances in Signal Processing
Finding Pitch Markers using First Order Gaussian Differentiator

ICISIP '05 Proceedings of the 2005 3rd International Conference on Intelligent Sensing and Information Processing
Computing the discrete-time “analytic” signal via FFT

IEEE Transactions on Signal Processing
Precise Dereverberation Using Multichannel Linear Prediction

IEEE Transactions on Audio, Speech, and Language Processing
Estimation of Glottal Closure Instants in Voiced Speech Using the DYPSA Algorithm

IEEE Transactions on Audio, Speech, and Language Processing
A two-stage algorithm for one-microphone reverberant speech enhancement

IEEE Transactions on Audio, Speech, and Language Processing
Robust Speech Dereverberation Using Multichannel Blind Deconvolution With Spectral Subtraction

IEEE Transactions on Audio, Speech, and Language Processing

Fast communication: Signal-dependent constraints for perceptually motivated suppression of late reverberation

Signal Processing
Enhancement of noisy speech by temporal and spectral processing

Speech Communication
Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing

Computer Speech and Language

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an approach for the enhancement of reverberant speech by temporal and spectral processing. Temporal processing involves identification and enhancement of high signal-to-reverberation ratio (SRR) regions in the temporal domain. Spectral processing involves removal of late reverberant components in the spectral domain. First, the spectral subtraction-based processing is performed to eliminate the late reverberant components, and then the spectrally processed speech is further subjected to the excitation source information-based temporal processing to enhance the high SRR regions. The objective measures segmental SRR and log spectral distance are computed for different cases, namely, reverberant, spectral processed, temporal processed, and combined temporal and spectral processed speech signals. The quality of the speech signal that is processed by the temporal and spectral processing is significantly enhanced compared to the reverberant speech as well as the signals that are processed by the individual temporal and spectral processing methods.