Automatic speaker verification (ASV) technology now reports a reasonable level of accuracy
in its applications in voice‐based biometric systems. However, it requires adequate amount …

Speaker recognition has emerged as an important field over the past several decades and
has evolved over time. This work is attempted to investigate speaker verification (SV) …

We present a database of parallel recordings of speech and singing, collected and released
by the Human Language Technology (HLT) laboratory at the National University of …

Code-switching text-to-speech (TTS) aims to enable a system to speak two languages with a
single voice and in the same utterance. In this paper, we propose to incorporate cross …

In current scenario, speaker recognition under noisy condition is the major challenging task
in the area of speech processing. Due to noise environment there is a significant …

This paper deals with the problem of detecting replay attacks on speaker verification
systems. In literature, apart from the acoustic features, source features have also been …

In present era, the spoof detection has become an integral part of biometric systems and
speaker verification is no exception to it. The replay attacks are the most common, where the …

The long-term window based features have been found to be effective for spoofing attack
detection. One such important countermeasure is constant-Q cepstral coefficients (CQCC) …

This work explores linear prediction (LP) residual based excitation source features for
detection of replay speech signals. The LP residual signal is derived from speech using the …

Due to within-speaker variability in phonetic content and/or speaking style, the performance
of automatic speaker verification (ASV) systems degrades especially when the enrollment …