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The paper presents an embedded system, which realizes real time speaker recognition from the internet radio broadcasts. The proposed solution was developed with the use of the open source Python programming language. It was first tested within the Windows environment, then adapted to the Unix operating system in order to use is on the Raspberry Pi 2 platform. We analyzed available libraries to select...
In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality. The model of each speaker was calculated with the use of the Gaussian mixture model (GMM) approach. Both the speaker recognition and the further analysis were realized with...
W artykule przedstawiono integrację układów elektronicznych z ciałem ludzkim na przykładzie badań prowadzonych w Pracowni Układów Elektronicznych i Przetwarzania Sygnałów (PUEPS) w Politechnice Poznańskiej. Omówiono poprawę zrozumiałości mowy, w tym osób laryngektomowanych, testy audiometryczne, generację wielotonów nieharmonicznych, badania bioimpedancyjne, detekcję punktów akupunkturowych, terapię...
In this paper a system for speaker recognition and respective experiments based on telephone speech signal quality are presented and reported. First, the speech signals are transmitted using regular GSM or analog telephone systems. The recorded signals are used as input for the Gaussian mixture model based speaker recognition system. The results suggest that the parameters of MFCC extraction should...
Rozpoznawanie/identyfikacja mówcy na podstawie rozmów telefonicznych może być ulepszona jeśli prawidłowo są wykryte użyte kodeki mowy. Artykuł prezentuje detekcję kodowania GSM o pełnej szybkości. Konieczność detekcji w czasie rzeczywistym wymaga segmentacji sygnału mowy, co zostało zbadane w środowisku Matlab/Simulink. Rezultaty eksperymentów z wykorzystaniem wybranych próbek sygnału mowy potwierdziły...
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...
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