In the experimental studies, Turkish speaker recognition database consisting of 46 speakers (36 males and 10 females) is used. Equal error rate (EER) is used to ...
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The performance on the Turkish text — dependent system is investigated by using Gaussian Mixture Model — Universal Background Model (GMM — UBM) method which ...
Request PDF | On May 1, 2017, Havva Celiktas and others published A study on Turkish text — Dependent speaker recognition | Find, read and cite all the research
In this study, the performance of i-vector approach is analysed on Turkish text-dependent speaker recognition database consisting of 59 speakers.
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Havva Celiktas, Cemal Hanilçi: A study on Turkish text - Dependent speaker recognition. SIU 2017: 1-4. a service of Schloss Dagstuhl - Leibniz Center for ...
PLDA is a backend classifier which is trained on mean and length normalized i-vectors It compensates for intra-speaker variability and presents a subspace ...
[PDF] A detailed survey of Turkish automatic speech recognition
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Jul 10, 2020 · This work focuses on the studies conducted in the field of Turkish speech recognition, the progress made in such studies in recent years, the ...
In this work, Turkish language accent analysis was performed using formant frequencies (F1, F2 and F3) of vowels.
In this study, the performance of i-vector approach is analysed on Turkish text-dependent speaker recognition database consisting of 59 speakers.
Apr 18, 2023 · Our study focused on developing a Turkish speech synthesis system using a DL approach. We obtained a large corpus from a male speaker and proposed a Tacotron 2 ...
Missing: Dependent | Show results with:Dependent