Significance of vowel-like regions for speaker verification under degraded conditions
SRM Prasanna, G Pradhan - IEEE transactions on audio …, 2011 - ieeexplore.ieee.org
Vowel-like regions (VLRs) in speech includes vowels, semi-vowels, and diphthong sound
units. VLR can be identified using a vowel-like region onset point (VLROP) event. By …
units. VLR can be identified using a vowel-like region onset point (VLROP) event. By …
A channel-selection criterion for suppressing reverberation in cochlear implants
K Kokkinakis, O Hazrati, PC Loizou - The Journal of the Acoustical …, 2011 - pubs.aip.org
Little is known about the extent to which reverberation affects speech intelligibility by
cochlear implant (CI) listeners. Experiment 1 assessed CI users' performance using Institute …
cochlear implant (CI) listeners. Experiment 1 assessed CI users' performance using Institute …
Speech/music classification using speech-specific features
BK Khonglah, SRM Prasanna - Digital Signal Processing, 2016 - Elsevier
This paper proposes the use of speech-specific features for speech/music classification.
Features representing the excitation source, vocal tract system and syllabic rate of speech …
Features representing the excitation source, vocal tract system and syllabic rate of speech …
Analysis, feature extraction, modeling and testing techniques for speaker recognition
HS Jayanna, SRM Prasanna - IETE Technical Review, 2009 - Taylor & Francis
Speaker recognition system may be viewed as working in four stages, namely, analysis,
feature extraction, modeling and testing. This paper gives an overview of the major …
feature extraction, modeling and testing. This paper gives an overview of the major …
Enhancement of noisy speech by temporal and spectral processing
P Krishnamoorthy, SRM Prasanna - Speech Communication, 2011 - Elsevier
This paper presents a noisy speech enhancement method by combining linear prediction
(LP) residual weighting in the time domain and spectral processing in the frequency domain …
(LP) residual weighting in the time domain and spectral processing in the frequency domain …
Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing
The performance of recent dereverberation methods for reverberant speech preprocessing
prior to Automatic Speech Recognition (ASR) is compared for an extensive range of room …
prior to Automatic Speech Recognition (ASR) is compared for an extensive range of room …
Single-microphone early and late reverberation suppression in noisy speech
S Mosayyebpour, M Esmaeili… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a single-microphone approach to the enhancement of noisy reverberant
speech via inverse filtering and spectral processing. An efficient algorithm is used to blindly …
speech via inverse filtering and spectral processing. An efficient algorithm is used to blindly …
Improving Speech Quality Using Deep Neural Network-Based Manipulation of Cepstral Excitation
MK Singh, D Lavanya, A Madhuri… - … in Electronics and …, 2023 - ebooks.iospress.nl
The source-filter paradigm, which is used in human speech development, would be used in
this proposal to increase speech quality. Excitation signals in the cepstral domain are …
this proposal to increase speech quality. Excitation signals in the cepstral domain are …
Reverberation suppression in cochlear implants using a blind channel-selection strategy
O Hazrati, PC Loizou - The Journal of the Acoustical Society of …, 2013 - pubs.aip.org
Reverberation severely degrades speech intelligibility for cochlear implant (CI) users. The
ideal reverberant mask (IRM), a binary mask for reverberation suppression which is …
ideal reverberant mask (IRM), a binary mask for reverberation suppression which is …
[PDF][PDF] Foreground Speech Segmentation using Zero Frequency Filtered Signal.
A method for the robust segmentation of foreground speech in the presence of background
degradation using zero frequency filtered signal (ZFFS) is proposed. The speech signal from …
degradation using zero frequency filtered signal (ZFFS) is proposed. The speech signal from …