@inproceedings{39cc147709ef4651865fbdacd643ff19,
title = "Comparison of four approaches to age and gender recognition for telephone applications",
abstract = "This paper presents a comparative study of four different approaches to automatic age and gender classification using seven classes on a telephony speech task and also compares the results with Human performance on the same data. The automatic approaches compared are based on (1) a parallel phone recognizer, derived from an automatic language identification system; (2) a system using dynamic Bayesian networks to combine several prosodie features; (3) a system based solely on linear prediction analysis; and (4) Gaussian mixture models based on MFCCs for separate recognition of age and gender. On average, the parallel phone recognizer performs as well as Human listeners do, while loosing performance on short utterances. The system based on prosodie features however shows very little dependence on the length of the utterance.",
keywords = "Acoustic signal analysis, Age, Gender, Speaker classification, Speech processing",
author = "Florian Metze and Jitendra Ajmera and Roman Englert and Udo Bub and Felix Burkhardt and Joachim Stegmann and Christian M{\"u}ller and Richard Huber and Bernt Andrassy and Bauer, \{Josef G.\} and Bernhard Littel",
year = "2007",
month = aug,
day = "6",
doi = "10.1109/ICASSP.2007.367263",
language = "English",
isbn = "1424407281",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "IV1089--IV1092",
booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",
note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",
}