Linguistically-constrained formant-based i-vectors for automatic speaker recognition-Reference-Cited by-同舟云学术

Linguistically-constrained formant-based i-vectors for automatic speaker recognition

Published:2016-02 Issue: Volume:76 Page:61-81
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Franco-Pedroso Javier,Gonzalez-Rodriguez Joaquin

Funder

Spanish Ministry of Economy and Competitiveness

Caracterizacion, Modelado y Compensacion de Variabilidad en la Señal de Voz

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference55 articles.

1. Arpabet — Wikipedia, TheFree Encyclopedia. [Online]. Available: http://en.wikipedia.org/wiki/Arpabet. 2014 (accessed 01.12.15).

2. Score normalization for text-independent speaker verification systems;Auckenthaler;Digit. Signal Process.,2000

3. Forensic speaker verification using formant features and gaussian mixture models;Becker,2008

4. Springer Handbook of Speech Processing,2008

5. Speaker recognition using syllable-based constraints for cepstral frame selection;Bocklet,2009

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fusing linguistic and acoustic information for automated forensic speaker comparison;Science & Justice;2024-09

2. Hybrid approach for speaker recognition based on formant and pitch extraction;2023 International Conference on Cyberworlds (CW);2023-10-03

3. Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition;Speech Communication;2023-06

4. Frequent-words analysis for forensic speaker comparison;Speech Communication;2023-05

5. Forensic Voice Comparison: Overview;Encyclopedia of Forensic Sciences, Third Edition;2023