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Speaker Verification Over Handheld Devices with Realistic Noisy Speech Data.
The MIT Mobile Device Speaker Verification Corpus: Data collection and preliminary experiments.
Unsupervised Speaker Adaptation Based on the Cosine Similarity for Text-Independent Speaker Verification.
A Channel-Blind System for Speaker Verification.
Frequently organized by NIST1 , Speaker Recognition evaluations (SRE) show high accuracy rates. This demonstrates that this field of research is mature. The latest progresses came from the prop...
Bayesian Distance Metric Learning on i-vector for Speaker Verification.
New Cosine Similarity Scorings to Implement Gender-independent Speaker Verification.
This paper presents a new speaker verification system based on i-vector modeling as a feature extractor. In this modeling, we explore the distance constraints between i-vector pairs from the same spea...
This paper proposes a new approach to unsupervised speaker adaptation inspired by the recent success of the factor analysisbased Total Variability Approach to text-independent speaker verification [1]...
We study speaker verification f or handheld devices assuming realistic, noisy test conditions and assuming no prior knowledge of the noise characteristics. Data were r ecorded in office ( “quiet”) and...
Self-paced Counting Methodology: Subjects hear a sentence and determine as fast and as reliably as possible its truth/falsity relative to an array of dots. The dots in the array are initially empt...
This paper presents a real time study (using Self-Paced Counting – SPC) of verification procedures for modified numeral quantifiers (more than n, at least n, …) in order to investigate to what ext...
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification.
In this paper, a session variability subspace projection(SVSP)based model compensation method for speaker verification is proposed. During the training phase the session variability is removed from sp...

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