Evaluation of Nuance Forensics 9.2 and 11.1 under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01)

Author:

Jessen Michael,Meir Gur,Solewicz Yosef A.

Publisher

Elsevier BV

Subject

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

Reference15 articles.

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3. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences;Davis;IEEE Trans. Acoust. Speech Sig. Proc.,1980

4. Front-end factor analysis for speaker verification;Dehak;IEEE Trans. Audio Speech Lang. Proc.,2011

5. Speaker-independent isolated word recognition using dynamic features of speech spectrum;Furui;IEEE Trans. Acoust. Speech Sig. Proc.,1986

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1. Forensic Voice Comparison Approaches for Low‐Resource Languages;Automatic Speech Recognition and Translation for Low Resource Languages;2024-03-29

2. An overview of log likelihood ratio cost in forensic science – Where is it used and what values can we expect?;Forensic Science International: Synergy;2024

3. Designing an IVR-based Speech Data Collection Framework for building Realistic Speech Corpus on Forensic Automatic Speaker Recognition;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04

4. Voice Comparison Approaches for Forensic Application: A Review;2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC);2023-05-26

5. Speaker identification in courtroom contexts – Part I: Individual listeners compared to forensic voice comparison based on automatic-speaker-recognition technology;Forensic Science International;2022-12

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