Detection of GSM speech coding for telephone call classification and automatic speaker recognition

This paper presents results of our research on automatic telephone call speaker recognition. A significant improvement of recognition quality can be observed if we use the knowledge on how the original speech was coded, e.g., using GSM or PCM telephone standard. On this basis we can improve the quality of the speaker models. In order to realize such a speech analyzer we propose to analyze the mean square error of the transcoded speech.