Single-Channel Sound Source Distance Estimation Based on Statistical and Source-Specific Features

Georganti E, May T, van de Par S, Härmä A, Mourjopoulos J. Single-Channel Sound Source Distance Estimation Based on Statistical and Source-Specific Features. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7689. Available from: https://aes.org/publications/elibrary-page/?id=14885

@inproceedings{Georganti2009_14885,
  author = {Georganti, Eleftheria and May, Tobias and van de Par, Steven and Härmä, Aki and Mourjopoulos, John},
  title = {{Single-Channel Sound Source Distance Estimation Based on Statistical and Source-Specific Features}},
  booktitle = {AES Convention 126},
  note = {Paper 7689},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14885}
}

TY  - CPAPER
TI  - Single-Channel Sound Source Distance Estimation Based on Statistical and Source-Specific Features
AU  - Georganti, Eleftheria
AU  - May, Tobias
AU  - van de Par, Steven
AU  - Härmä, Aki
AU  - Mourjopoulos, John
T2  - AES Convention 126
M1  - Paper 7689
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14885
PB  - Audio Engineering Society
LA  - en
AB  - In this paper we study the problem of estimating the distance of a sound source from a single microphone recording in a room environment. The room effect cannot be separated from the problem without making assumptions about the properties of the source signal. Therefore, it is necessary to develop methods of distance estimation separately for different types of source signals. In this paper, we focus on speech signals. The proposed solution is to compute a number of statistical and source specific features from the speech signal and to use pattern recognition techniques to develop a robust distance estimator for speech signals. Experiments with a database of real speech recordings showed that the proposed model is capable of estimating source distance with acceptable performance for applications such as ambient telephony.
ER  -