Proceedings ArticleDOI
A Kepstrum based approach for enhancement of dysarthric speech
V Lalitha,P Prema,Lazar Mathew +2 more
- Vol. 7, pp 3474-3478
TLDR
A novel speech processing algorithm based on Kepstrum analysis procedure is proposed in this paper, which provides very good speech enhancement for Dysarthric speech.Abstract:
A novel speech processing algorithm based on Kepstrum analysis procedure is proposed in this paper, which provides very good speech enhancement for Dysarthric speech. Kepstrum approach has so far been used in communication applications like two microphone noise cancellation. The other applications are derivation of Kalman filter and wiener filter equations. So an attempt to use kepstrum approach to enhance the dysarthric speech is made in this paper. The algorithm is tested on various monosyllabic and bisyllabic (Consonant-Vowel pattern and Consonant-Vowel-Consonant-Vowel pattern) dysarthric speech samples of cerebral palsy patients between the age group of 40–60 years and it was found that there was considerable formant shift and modification in the energy of the output signal. Also the results obtained by kepstrum approach is compared with the results obtained by Linear Prediction Coefficients (LPC) method and it is found that kepstrum approach gives better results.read more
Citations
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Journal ArticleDOI
Trends in communicative access solutions for children with cerebral palsy.
TL;DR: This study reviews current trends in access solution development for children with cerebral palsy, with particular emphasis on the access technology that harnesses a control signal from the user and the output device whose behavior is modulated by the user’s control signal.
Dysarthric Speech Enhancement using Formant Trajectory Refinement
TL;DR: This work refined the formant trajectories of the dysarthric speech to improve its intelligibility and observed that the quality of speech improved significantly, and should be encouraged to communicate more effectively and improve the pace of their rehabilitation.
Proceedings ArticleDOI
Speech enhancement for pathological voice using time-frequency trajectory excitation modeling
TL;DR: By investigating the difference of frequency characteristics between pathological and normal voices, this paper proposes an enhancement algorithm which can efficiently reduce the breathiness of the pathological voice while maintaining the identity of the speaker.
Proceedings ArticleDOI
Vowel Formant Transformation Techniques for Dysarthric Speech
TL;DR: In this work, the formants of dysarthric vowels are modified by using three different formant transformation techniques available and it is found that use of probabilistic least square regression results in smaller RMSE compared to formants transformation using target features and joint density estimation.
References
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Book
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TL;DR: This paper presents a meta-analysis of the Z-Transform and its application to the Analysis of LTI Systems, and its properties and applications, as well as some of the algorithms used in this analysis.
Proceedings Article
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TL;DR: The main result is that the widely used subset of the MFCCs is robust at bit rates equal or higher than 128 kbits/s, for the implementations the authors have investigated.
Journal ArticleDOI
Improving the intelligibility of dysarthric speech
Alexander Kain,John-Paul Hosom,Xiaochuan Niu,Jan P. H. van Santen,Melanie Fried-Oken,Janice Staehely +5 more
TL;DR: This study significantly improved the intelligibility of dysarthric vowels of one speaker from 48% to 54%, as evaluated by a vowel identification task using 64 CVC stimuli judged by 24 listeners.
Journal ArticleDOI
A kepstrum approach to filtering, smoothing and prediction with application to speech enhancement
Tom Moir,J. F. Barrett +1 more
TL;DR: A kepstrum approach to minimum–phase Wiener filtering of stationary scalar processes is proposed and solved for the case of signal plus coloured noise, where the noise possibly includes a white–noise component.
Journal ArticleDOI
The kepstrum method for spectral analysis
J. F. Barrett,Tom Moir +1 more
TL;DR: The Fourier transform of the logarithm of spectral density is a useful tool for spectral analysis of random signals which are highly resonant as discussed by the authors, and it is shown how a smooth frequency response (Bode plot) can be found to identify the signal generating process.