363 citations · 1.8k across the 74 of their papers we have counts for
26 papers · 1 filter
A New Nonlinear speaker parameterization algorithm for speaker identification
Mohamed Chetouani, Marcos Faundez-Zanuy, Bruno Gas +1
In this paper we propose a new parameterization algorithm based on nonlinear prediction, which is an extension of the classical LPC parameters. The parameters performances are esti…
What can predictive speech coders learn from speaker recognizers?
Marcos Faundez-Zanuy
This paper compares the speech coder and speaker recognizer applications, showing some parallelism between them. In this paper, some approaches used for speaker recognition are app…
Non-Linear Speech coding with MLP, RBF and Elman based prediction
Marcos Faundez-Zanuy
In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech…
Nonlinear Vectorial Prediction with Neural Nets
Marcos Faundez-Zanuy
In this paper we propose a nonlinear vectorial prediction scheme based on a Multi Layer Perceptron. This system is applied to speech coding in an ADPCM backward scheme. In addition…
On The Model Size Selection For Speaker Identification
Marcos Faundez-Zanuy
In this paper we evaluate the relevance of the model size for speaker identification. We show that it is possible to improve the identification rates if a different model size is u…
Adaptive hybrid speech coding with a MLP LPC structure
Marcos Faundez-Zanuy
In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but lit…
A comparative study between linear and nonlinear speech prediction
Marcos Faundez-Zanuy, Enric Monte, Francesc Vallverdú
This paper is focused on nonlinear prediction coding, which consists on the prediction of a speech sample based on a nonlinear combination of previous samples. It is known that in…
Wide band sub-band speech coding using nonlinear prediction
Marcos Faundez-Zanuy
We compare a wide band sub-band speech coder using ADPCM schemes with linear prediction against the same scheme with nonlinear prediction based on multi-layer perceptrons. Exhausti…
A new subband non linear prediction coding algorithm for narrowband speech signal: The nADPCMB MLT coding scheme
Guido D'Alessandro, Marcos Faundez Zanuy, Francesco Piazza
This paper focuses on a newly developed transparent nADPCMB MLT speech coding algorithm. Our coder first decomposes the narrowband speech signal in subbands, a non linear ADPCM sch…
A combination between VQ and covariance matrices for speaker recognition
Marcos Faundez-Zanuy
This paper presents a new algorithm for speaker recognition based on the combination between the classical Vector Quantization (VQ) and Covariance Matrix (CM) methods. The combined…
Speaker recognition with a MLP classifier and LPCC codebook
Daniel Rodriguez-Porcheron, Marcos Faundez-Zanuy
This paper improves the speaker recognition rates of a MLP classifier and LPCC codebook alone, using a linear combination between both methods. In simulations we have obtained an i…
Nonlinear prediction with neural nets in ADPCM
Marcos Faundez-Zanuy, Francesc Vallverdu, Enric Monte
In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but lit…
Analysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach
Karmele Lopez-de-Ipiña, Unai Martinez de Lizarduy, Pilar Calvo +5
The so-called Mild Cognitive Impairment (MCI) or cognitive loss appears in a previous stage before Alzheimer's Disease (AD), but it does not seem sufficiently severe to interfere i…
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis
K. López-de-Ipiña, Marcos Faundez-Zanuy, Jordi Solé-Casals +2
Most of medical developments require the ability to identify samples that are anomalous with respect to a target group or control group, in the sense they could belong to a new, pr…
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability
Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
Jan Mucha, Zoltan Galaz, Jiri Mekyska +9
Up to 90 % of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprec…
Automatic analysis of Categorical Verbal Fluency for Mild Cognitive Impartment detection: a non-linear language independent approach
Karmele López-De-Ipiña, Unai Martinez de Lizarduy, Nora Barroso +4
Alzheimer's disease (AD) is one the main causes of dementia in the world and the patients develop severe disability and sometime full dependence. In previous stages Mild Cognitive…
Robust and Complex Approach of Pathological Speech Signal Analysis
Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda +8
This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It pro…
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation
Jiri Mekyska, Zoltan Galaz, Zdenek Mzourek +9
This paper deals with a complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a special focus on estimation of disease progress that is described by…
Speaker recognition using residual signal of linear and nonlinear prediction models
Marcos Faundez-Zanuy, Daniel Rodríguez-Porcheron
This Paper discusses the usefulness of the residual signal for speaker recognition. It is shown that the combination of both a measure defined over LPCC coefficients and a measure…
Speaker Identification Experiments Under Gender De-Identification
Marcos Faundez-Zanuy, Enric Sesa-Nogueras, Stefano Marinozzi
The present work is based on the COST Action IC1206 for De-identification in multimedia content. It was performed to test four algorithms of voice modifications on a speech gender…
Speaker recognition by means of a combination of linear and nonlinear predictive models
Marcos Faundez-Zanuy
This paper deals the combination of nonlinear predictive models with classical LPCC parameterization for speaker recognition. It is shown that the combination of both a measure def…
Nonlinear predictive models computation in ADPCM schemes
Marcos Faundez-Zanuy
Recently several papers have been published on nonlinear prediction applied to speech coding. At ICASSP98 we presented a system based on an ADPCM scheme with a nonlinear predictor…
A comparative study of several parameterizations for speaker recognition
Marcos Faundez-Zanuy
This paper presents an exhaustive study about the robustness of several parameterizations, in speaker verification and identification tasks. We have studied several mismatch condit…