FM features for automatic forensic speaker recognition
نویسندگان
چکیده
Frequency modulation (FM) information from the speech signal is herein proposed to complement the conventional amplitude based features for automatic forensic speaker recognition systems. In addition to presenting the AM-FM model of speech used to generate the proposed frequency modulation features, the significance of frequency modulation for speaker recognition is discussed. Evaluation results from an automatic forensic speaker recognition system combining FM and MFCC features are shown to out-perform those of a system employing MFCC features alone, in terms of all typical metrics, such as detection error trade-off curves, Tippett curves and applied probability of error curves.
منابع مشابه
The case for automatic higher-level features in forensic speaker recognition
Approaches from standard automatic speaker recognition, which rely on cepstral features, suffer the problem of lack of interpretability for forensic applications. But the growing practice of using “higher-level” features in automatic systems offers promise in this regard. We provide an overview of automatic higher-level systems and discuss potential advantages, as well as issues, for their use ...
متن کاملA Bayesian network approach combining pitch and spectral envelope features to reduce channel mismatch in speaker verification and forensic speaker recognition
The aim of this paper is to reduce the effect of mismatch in recording conditions due to the transmission channel and recording device, using conditional dependencies of prosodic and spectral envelope features. The developed system is based on a Bayesian network framework which combines statistical models of the pitch and spectral envelope features. This approach is applied to forensic automati...
متن کاملStatistical methods and Bayesian interpretation of evidence in forensic automatic speaker recognition
The goal of this paper is to establish a robust methodology for forensic automatic speaker recognition (FASR) based on sound statistical and probabilistic methods, and validated using databases recorded in real-life conditions. The interpretation of recorded speech as evidence in the forensic context presents particular challenges. The means proposed for dealing with them is through Bayesian in...
متن کاملForensic automatic speaker recognition
Automatic speaker recognition technology appears to have reached a sufficient level of maturity for realistic application in the field of forensic science. However, there are key issues to be solved before the forensic community will accept its use as an investigative assistant or as evidence in actual criminal cases. To assess the state of the technology, the Federal Bureau of Investigation (F...
متن کاملForensic speaker recognition using traditional features comparing automatic and human-in-the-loop formant tracking
In this paper we compare forensic speaker recognition with traditional features using two different formant tracking strategies: one performed automatically and one semi-automatic performed by human experts. The main contribution of the work is the use of an automatic method for formant tracking, which allows a much faster recognition process and the use of a much higher amount of data for mode...
متن کامل