speech processing toolbox for (MathWorks Inc)
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MathWorks Inc
speech processing toolbox for
Speech Processing Toolbox For, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/speech+processing+toolbox/pm31866434-308-1-7
Average 90 stars, based on 1 article reviews
Speech Processing Toolbox For, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/speech+processing+toolbox/pm31866434-308-1-7
Average 90 stars, based on 1 article reviews
speech processing toolbox for - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Effects of noise suppression on intelligibility: dependency on signal-to-noise ratios. Article Snippet: The effects on speech intelligibility of three different noise reduction algorithms (spectral subtraction, minimal mean squared error spectral estimation, and subspace analysis) were evaluated in two types of noise (car and babble) over a 12 dB range of signal-to-noise ratios (SNRs).. Results from these listening experiments showed that most algorithms deteriorated intelligibility scores.. Modeling of the results with a logit-shaped psychometric function showed that the degradation in intelligibility scores was largely congruent with a constant shift in SNR, although some additional degradation was observed at two SNRs, suggesting a limited interaction between the effects of noise suppression and SNR. Article Title: Measuring vocal difference in bird population pairs. Article Snippet: Measuring vocal difference in bird population pairs Colm O'Reilly, Kangkuso Analuddin, David J. Kelly, and Naomi Harte Citation: The Journal of the Acoustical Society of America 143, 1658 (2018); doi: 10.1121/1.5027244 View online: https://doi.org/10.1121/1.5027244 View Table of Contents: http://asa.scitation.org/toc/jas/143/3 Published by the Acoustical Society of America Measuring vocal difference in bird population pairs Colm O’Reilly,1,a) Kangkuso Analuddin,2 David J. Kelly,3 and Naomi Harte1 1Sigmedia Group, School of Engineering, Trinity College Dublin, Dublin, Ireland 2Department of Biology and Biotechnology, Halu Oleo University, Southeast Sulawesi, Indonesia 3Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland (Received 18 July 2017; revised 31 January 2018; accepted 24 February 2018; published online 26 March 2018) Over time, a bird population’s acoustic and morphological features can diverge from the parent species.. A quantitative measure of difference between two populations of species/subspecies is extremely useful to zoologists.. Work in this paper takes a dialect difference system first developed for speech and refines it to automatically measure vocalisation difference between bird populations by extracting pitch contours. Article Title: Interactive, expressive music accompaniment system Article Snippet: The system of FIGS. 3 and 4 (with a “count-in” algorithm) was implemented using Matlab, Article Title: Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine (SUNG) datasets in bioacoustics: The case of bonobo calls Article Snippet: MFCC: this set computed with the Article Title: Highly spectrally undersampled vowels can be classified by machines without supervision. Article Snippet: Article Title: DETECTION OF WHALES USING DEEP LEARNING METHODS AND NEURAL NETWORKS Article Snippet: Article Title: Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease. Article Snippet: Brookes, Article Title: Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion Article Snippet: |