We performed an experimental review of current diarization systems for the conversational
telephone speech (CTS) domain. In detail, we considered a total of eight different algorithms …

This paper presents an entropy-based algorithm for accurate and robust endpoint detection
for speech recognition under noisy environments. Instead of using the conventional energy …

Network-based attacks have become common and sophisticated. For this reason, intrusion
detection systems are now shifting their focus from the hosts and their operating systems to …

Despite the rapid adoption of Voice over IP (VoIP), its security implications are not yet fully
understood. Since VoIP calls may traverse untrusted networks, packets should be encrypted …

A practical lipreading system can be considered either as subject dependent (SD) or subject-
independent (SI). An SD system is user-specific, ie, customized for some particular user …

In speech processing, endpoint detection in noisy environments is difficult, especially in the
presence of nonstationary noise. Robust endpoint detection is one of the most important …

This paper addresses the problem of robust voice activity detection (VAD) capable for
working at very low signal-to-noise ratios (SNR< 10dB). A new algorithm that we propose is …

Recently, there has been growing use of deep neural networks in many modern speech-
based systems such as speaker recognition, speech enhancement, and emotion …

In the process of speech recognition, it is especially crucial to precisely locate endpoints of
the input utterance to be free of non-speech regions. This paper proposes a novel approach …

The disclosure describe a system and method for detecting one or more segments of
desired speech utterances from an audio stream using timings of events from other modes …