Abstract
The paper examines issues related to proper selection of models used for quick speaker recognition based on short recordings of mobile telephone conversations. A knowledge of the encoder type used during the transmission of speech allows to apply an appropriate model that takes specific characteristics of the encoder into account: full rate (FR), half rate (HR), enhanced full rate (EFR) and adaptive multi-rate (AMR). We analyse both proper model selection and automatic silence removal. Analysis of time of processing is also a part of this study.
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Weychan, R., Stankiewicz, A., Marciniak, T., Dabrowski, A. (2014). Improving of Speaker Identification from Mobile Telephone Calls. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2014. Communications in Computer and Information Science, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-07569-3_21
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DOI: https://doi.org/10.1007/978-3-319-07569-3_21
Publisher Name: Springer, Cham
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