… as follows:(1) ∧ c ( Y ) = l o g p ( Y | λ c ) − l o g p ( Y | λ u b m ) (2) c ˆ = arg max c = 1 N ∧
c where Y is a sequence of MFCC features of a test speech sample. Accent/language/…

… in Polish as a potential source of biometry information for automatic speaker recognition
were … not yet directly used in any speaker recognition system, in particular, in any Polish one. …

… The ASR covers encoding by mapping the input speech sequence to a sequence of
features, matching the latter to the language and decoding the final classification results. …

… speaker identification and speaker verification. The process of identifying an unknown speaker
from a set of known speakers is speaker … The acoustic feature sequence is obtained from …

… This paper addresses the problem of speaker identification with short sequences of speech
… for speaker identification, we want to investigate for feature representations of voice sample …

… speaker identification [3], [8], [27]–[32]. This paper addresses the problem of speaker identification
with short sequences of speech … As this is a very severe test for speaker identification, …

… The study showed that the speaker trait is primarily a deterministic short-time feature rather
… that aggregated the variable-length input sequence into an utterance level representation. …

… Levenshtein's distance is a very quick way for measuring the difference between short character
sequences. In … The native language of the participants was Polish. In order to make the …

… the basic pipeline used in speech processing and speech recognition. Rather than hiding
… It is used to align a sequence of words to the provided audio recording of speech. This can …

… speech recognition that were obtained by using contemporary deep neural networks based
on sequence… Various experiments have been proposed to further polish the acoustic models. …