A Two-Level Speaker Identification System via Fusion of Heterogeneous Classifiers and Complementary Feature Cooperation

Autor: Mohammad Al-Qaderi, Elfituri Lahamer, Ahmad Rad

Publikováno v: Sensors, Vol 21, Iss 15, p 5097 (2021)

We present a new architecture to address the challenges of speaker identification that arise in interaction of humans with social robots. Though deep learning systems have led to impressive performance in many speech applications, limited speech data

Externí odkaz: https://doaj.org/article/0e4c8facf3984aed9b29caf662333330

An Analysis of the Short Utterance Problem for Speaker Characterization

Autor: Ignacio Viñals, Alfonso Ortega, Antonio Miguel, Eduardo Lleida

Publikováno v: Applied Sciences, Vol 9, Iss 18, p 3697 (2019)

Speaker characterization has always been conditioned by the length of the evaluated utterances. Despite performing well with large amounts of audio, significant degradations in performance are obtained when short utterances are considered. In this wo

Externí odkaz: https://doaj.org/article/e84201dcc5ea4a5baccebb7cfdc7bf06

Quality measures for speaker verification with short utterances

Autor: Sahidullah, Goutam Saha, Arnab Poddar

Publikováno v: Digital Signal Processing
Digital Signal Processing, 2019, 88, pp.66-79. ⟨10.1016/j.dsp.2019.01.023⟩
Digital Signal Processing, Elsevier, 2019, 88, pp.66-79. ⟨10.1016/j.dsp.2019.01.023⟩

The performances of the automatic speaker verification (ASV) systems degrade due to the reduction in the amount of speech used for enrollment and verification. Combining multiple systems based on different features and classifiers considerably reduce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc70fa86e878d5f3b162a61bf9046d20
https://doi.org/10.1016/j.dsp.2019.01.023

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