Effect of identical twins on deep speaker embeddings based forensic voice comparison
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-024-10108-6
Abstract: Deep learning has gained widespread adoption in forensic voice comparison in recent years. It is mainly used to learn speaker representations, known as embedding features or vectors. In this work, the effect of identical twins… read more here.
Keywords: identical twins; forensic voice; voice comparison; speaker ... See more keywords
Effect of Noises and GSM Codings on Pre-Trained Speaker Embedding Models in Forensic Voice Comparison
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DOI: 10.1109/access.2025.3593024
Abstract: Deep learning has witnessed extensive application within speaker verification (SV) in recent years, particularly in feature extraction or embedding features. This study delves into examining the impact of noise and Global System for Mobile Communications… read more here.
Keywords: forensic voice; pre trained; verification; speaker ... See more keywords
Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.15250
Abstract: In forensic voice comparison, deep learning has become widely popular recently. It is mainly used to learn speaker representations, called embeddings or embedding vectors. Speaker embeddings are often trained using corpora mostly containing widely spoken… read more here.
Keywords: language; comparison; forensic voice; deep learning ... See more keywords