NDLI: Foreground speech segmentation and enhancement using glottal closure instants and mel cepstral coefficients

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IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) : Volume 24

Issue 9, September 2016

Issue 8, August 2016

Issue 7, July 2016

A simplified subband ANC algorithm without secondary path modeling

Multiple non-negative matrix factorization for many-to-many voice conversion

Training deep bidirectional LSTM acoustic model for LVCSR by a context-sensitive-chunk BPTT approach

Text-dependent speaker recognition with random digit strings

Foreground speech segmentation and enhancement using glottal closure instants and mel cepstral coefficients

Robust estimation and tracking of pitch period using an efficient Bayesian filter

A novel method of glottal inverse filtering

Multi-frame amplitude envelope estimation for modification of singing voice

Improving trajectory modelling for DNN-based speech synthesis by using stacked bottleneck features and minimum generation error training

Fusion methods for speech enhancement and audio source separation

Improving the performance of the PNLMS algorithm using l₁ norm regularization

Spotforming: spatial filtering with distributed arrays for position-selective sound acquisition

Learning the multilingual translation representations for question retrieval in community question answering via non-negative matrix factorization

Power-normalized cepstral coefficients (PNCC) for robust speech recognition

Issue 2, February 2016

Issue 1, January 2016

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) : Volume 23

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) : Volume 22

Foreground speech segmentation and enhancement using glottal closure instants and mel cepstral coefficients

Content Provider	ACM Digital Library
Author	Deepak, K. T. Prasanna, S. R. Mahadeva
Copyright Year	2016
Abstract	In this paper, the speech signal recorded from the desired speaker close to microphone in natural environment is regarded as foreground speech and rest of the interfering sources as background noise. The proposed paper exploits speech production features like glottal closure instants in time domain and vocal tract information in spectral domain to segment the desired speaker's speech and to further enhance it. The foreground speech is perceptually enhanced using the auditory perception feature in mel-frequency domain using mel-cepstral coefficients and its inversion using mel log spectrum approximation filter. The focus is on enhancing the production and perceptual features of foreground speech rather than relying on modeling the interfering sources. The speech data are collected in different natural environments from different speakers in order to evaluate the proposed method. The enhanced speech signals derived at three different stages of the proposed method are evaluated with state-of-the-art methods in terms of subjective and objective measures. The proposed method provides improved performance compared to the considered state-of-the-art methods. In terms of the proposed objective measure foreground to background Ratio, the enhancement approach presented in this paper gives an average improvement of 12 dB as opposed to existing spectral subtraction-based method which provides 3 dB. Moreover, subjective evaluation using 24 different subjects corroborates the objective test results.
Starting Page	1204
Ending Page	1218
Page Count	15
File Format	PDF
ISSN	23299290
e-ISSN	23299304
Volume Number	24
Issue Number	7
Journal	IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-07-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	MCC MLSA Foreground segmentation Glottal closure instants Speech enhancement Zero band filter
Content Type	Text
Resource Type	Article
Subject	Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Detection of glottal closure instants based on the microcanonical multiscale formalism

A fast method for high-resolution voiced/unvoiced detection and glottal closure/opening instant estimation of speech

Detection of Glottal Closure Instants Based on the Microcanonical Multiscale Formalism

A Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of Speech

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Pitch synchronous and glottal closure based speech analysis for language recognition

Mixed stereo audio classification using a stereo-input mixed-to-panned level feature

Foreground speech segmentation and enhancement using glottal closure instants and mel cepstral coefficients

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