This generally requires the telephone transmission of the speech to remote servers that perform the recognition task. The transmission may introduce severe distortions that degrade the system performance and hence represents one of the major challenges speech technologies are currently facing. Similarly, humans also cope with the difficulty of reliably identifying talkers from speech transmitted over communication channels, particularly if the utterance heard is of short duration.
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Contrary to other recognition systems, this system was built with two. The work leading to this thesis has been focused on establishing a text-independent closed-set speaker recognition system.
Contrary to other recognition systems, this system was built with two parts for the purpose of improving the recognition accuracy. The first part is the speaker pruning performed by KNN algorithm.
Speaker recognition is the identification of a person from characteristics of voices Phd thesis, Lund University.
Md Sahidullah (), Enhancement of Speaker Recognition Performance Using Block Level, Relative and Temporal Information of Subband Energies, PhD thesis, Indian Institute of Technology Kharagpur.
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In the speaker recognition technology, features of speaker’s voice can be extracted to uniquely present the person. For fingerprint technology, the data is collected through a finger print scanner, while in speaker recognition, only a microphone is needed.
issue in speaker recognition ﬁeld. In this thesis, our main focus is to improve the robustness of speaker recognition systems on We also built systems that support robust speaker recognition. We implemented a speaker segmentation and clustering system aiming at improving the robustness.