Results 1 - 10 of 386

Speech/Non-Speech discrimination combining advanced feature extraction and SVM learning

by Javier Ramírez, Pablo Yélamos, Juan Manuel Górriz, José C. Segura, Luz García
"... This paper shows an effective speech/non-speech discrimination method for improving the performance of speech processing systems working in noisy environment. The proposed method uses a trained support vector machine (SVM) that defines an optimized non-linear decision rule over different sets of spe ..."
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This paper shows an effective speech/non-speech discrimination method for improving the performance of speech processing systems working in noisy environment. The proposed method uses a trained support vector machine (SVM) that defines an optimized non-linear decision rule over different sets

Fuzzy Logic Speech/Non-speech Discrimination for Noise Robust Speech Processing

by R. Culebras, J. Ramírez, J. M. Górriz, J. C. Segura
"... Abstract. This paper shows a fuzzy logic speech/non-speech discrimination method for improving the performance of speech processing systems working in noise environments. The fuzzy system is based on a Sugeno inference engine with membership functions defined as combination of two Gaussian functions ..."
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Abstract. This paper shows a fuzzy logic speech/non-speech discrimination method for improving the performance of speech processing systems working in noise environments. The fuzzy system is based on a Sugeno inference engine with membership functions defined as combination of two Gaussian

Speech/non-speech discrimination based on contextual information integrated bispectrum lrt

by Javier Ramírez, Juan Manuel Górriz, José Carlos Segura, Carlos G. Puntonet, Antonio J. Rubio, Senior Member, Senior Member - IEEE Signal Processing Letters , 2006
"... Abstract—This letter shows an effective statistical voice activity detection algorithm based on the integrated bispectrum, which is defined as a cross spectrum between the signal and its square and inherits the ability of higher order statistics to detect signals in noise with many other additional ..."
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bispectrum speech features. With these and other innovations, the proposed method reports significant improvements in speech/pause discrimination as well as in speech recognition over standardized techniques such as ITU-T G.729, ETSI AMR, and AFE VADs, and over recently published VADs. Index Terms

Suppression of the m Rhythm during Speech and Non- Speech Discrimination Revealed by Independent Component Analysis: Implications for Sensorimotor Integration in Speech Processing

by Andrew Bowers, Tim Saltuklaroglu, Ashley Harkrider, Megan Cuellar
"... Background: Constructivist theories propose that articulatory hypotheses about incoming phonetic targets may function to enhance perception by limiting the possibilities for sensory analysis. To provide evidence for this proposal, it is necessary to map ongoing, high-temporal resolution changes in s ..."
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in sensorimotor activity (i.e., the sensorimotor m rhythm) to accurate speech and non-speech discrimination performance (i.e., correct trials.) Methods: Sixteen participants (15 female and 1 male) were asked to passively listen to or actively identify speech and tone-sweeps in a two-force choice discrimination

Behavioral and Brain Functions BioMed Central

by Martin Meyer , 2007
"... Electrical brain imaging evidences left auditory cortex involvement in speech and non-speech discrimination based on temporal features ..."
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Electrical brain imaging evidences left auditory cortex involvement in speech and non-speech discrimination based on temporal features

A Review of

by Andrew L. Bowers, Tim Saltuklaroglu, Ashley Harkrider, Mary A. Toner, Nicolas Jean Bourguignon, Hospitalier Universitaire Sainte, Daniel Callan, Andrew L. Bowers, Department Of - Properties of Flow– Density Functions”, Transport Reviews, Vol.32, Issue.1 , 2012
"... doi: 10.3389/fpsyg.2014.00366 Dynamic modulation of shared sensory and motor cortical rhythms mediates speech and non-speech discrimination performance ..."
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doi: 10.3389/fpsyg.2014.00366 Dynamic modulation of shared sensory and motor cortical rhythms mediates speech and non-speech discrimination performance

Speech - nonspeech discrimination based on speech-relevant spectrogram modulations

by Michael Wohlmayr, Maria Markaki, Yannis Stylianou - In Proc. EUSIPCO 2007 , 2007
"... In this work, we adopt an information theoretic approach- the Information Bottleneck method- to extract the relevant modulation frequencies across both dimensions of a spectro-gram, for speech / non-speech discrimination (music, animal vocalizations, environmental noises). A compact representa-tion ..."
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In this work, we adopt an information theoretic approach- the Information Bottleneck method- to extract the relevant modulation frequencies across both dimensions of a spectro-gram, for speech / non-speech discrimination (music, animal vocalizations, environmental noises). A compact representa-tion

Speech - nonspeech discrimination using the Information Bottleneck method and Spectro-Temporal Modulation Index

by Maria Markaki, Michael Wohlmayr, Yannis Stylianou - In Proc. Interspeech-ICSLP 2007 , 2007
"... In this work, we adopt an information theoretic approach- the Information Bottleneck method- to extract the relevant spectro-temporal modulations for the task of speech / non-speech dis-crimination- non-speech events include music, noise and an-imal vocalizations. A compact representation (a “cluste ..."
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In this work, we adopt an information theoretic approach- the Information Bottleneck method- to extract the relevant spectro-temporal modulations for the task of speech / non-speech dis-crimination- non-speech events include music, noise and an-imal vocalizations. A compact representation (a

Discriminating Speech and Non-Speech with Regularized Least Squares

by Ryan Rifkin, Nima Mesgarani
"... We consider the task of discriminating speech and non-speech in noisy environments. Previously, Mesgarani et. al [1] achieved state-of-the-art performance using a cortical representation of sound in conjunction with a feature reduction algorithm and a nonlinear support vector machine classifier. In ..."
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We consider the task of discriminating speech and non-speech in noisy environments. Previously, Mesgarani et. al [1] achieved state-of-the-art performance using a cortical representation of sound in conjunction with a feature reduction algorithm and a nonlinear support vector machine classifier

Discrimination of Speech from Non-speech based on Multiscale Spectrotemporal Modulations

by Nima Mesgarani, Master Of Science, Shihab Shamma, Nima Mesgarani - IEEE Transactions on Audio, Speech, and Language Processing , 2006
"... We describe a content-based audio classification algorithm based on novel multiscale spectro-temporal modulation features inspired by a model of auditory cortical processing. The task ex-plored is to discriminate speech from non-speech consisting of animal vocalizations, music and environmental soun ..."
Abstract - Cited by 53 (3 self) - Add to MetaCart
We describe a content-based audio classification algorithm based on novel multiscale spectro-temporal modulation features inspired by a model of auditory cortical processing. The task ex-plored is to discriminate speech from non-speech consisting of animal vocalizations, music and environmental
Results 1 - 10 of 386