Fast i-vector denoising using MAP estimation and a noise distributions database for robust speaker recognition
Once the i-vector paradigm has been introduced in the field of speaker recognition, many
techniques have been proposed to deal with additive noise within this framework. Due to the …
techniques have been proposed to deal with additive noise within this framework. Due to the …
A unified joint model to deal with nuisance variabilities in the i-vector space
The past decade has witnessed a significant improvement in speaker recognition (SR)
technology in terms of performance with the introduction of the i-vectors framework. Despite …
technology in terms of performance with the introduction of the i-vectors framework. Despite …
Reliability of voice comparison for forensic applications
M Ajili - 2017 - hal.science
It is common to see voice recordings being presented as a forensic trace in court. Generally,
a forensic expert is asked to analyse both suspect and criminal's voice samples in order to …
a forensic expert is asked to analyse both suspect and criminal's voice samples in order to …
A study of speech distortion conditions in real scenarios for speech processing applications
The growing demand for robust speech processing applications able to operate in adverse
scenarios calls for new evaluation protocols and datasets beyond artificial laboratory …
scenarios calls for new evaluation protocols and datasets beyond artificial laboratory …
Dealing with additive noise in speaker recognition systems based on i-vector approach
In the last years, the i-vector approach became the state-of-the-art in speaker recognition
systems. As in previous approaches, i-vector-based systems suffer greatly in presence of …
systems. As in previous approaches, i-vector-based systems suffer greatly in presence of …
[PDF][PDF] Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition.
Additive noise is one of the main challenges for automatic speaker recognition and several
compensation techniques have been proposed to deal with this problem. In this paper, we …
compensation techniques have been proposed to deal with this problem. In this paper, we …
Domain mismatch modeling of out-domain i-vectors for PLDA speaker verification
The state-of-the-art i-vector based probabilistic linear discriminant analysis (PLDA) trained
on non-target (or out-domain) data significantly affects the speaker verification performance …
on non-target (or out-domain) data significantly affects the speaker verification performance …
[PDF][PDF] Iterative Bayesian and MMSE-based noise compensation techniques for speaker recognition in the i-vector space.
Dealing with additive noise in the i-vector space can be challenging due to the complexity of
its effect in that space. Several compensation techniques have been proposed in the last …
its effect in that space. Several compensation techniques have been proposed in the last …
[PDF][PDF] Noise robust music artist recognition using i-vector
H Eghbal-Zadeh, G Widmer - 2016 - researchgate.net
In music information retrieval (MIR), dealing with different types of noise is important and the
MIR models are frequently used in noisy environments such as live performances. Recently …
MIR models are frequently used in noisy environments such as live performances. Recently …
Robust text independent closed set speaker identification systems and their evaluation
MTS Al-Kaltakchi - 2018 - theses.ncl.ac.uk
This thesis focuses upon text independent closed set speaker identi cation. The
contributions relate to evaluation studies in the presence of various types of noise and …
contributions relate to evaluation studies in the presence of various types of noise and …