Since the 1960s, there have been calls for forensic voice comparison to be empirically
validated under casework conditions. Since around 2000, there have been an increasing …

Automatic spoken language identification (LID) is a very important research field in the era of
multilingual voice-command-based human-computer interaction. A front-end LID module …

Emotion recognition plays an important role in human-computer interaction. Previously and
currently, many studies focused on speech emotion recognition using several classifiers and …

Despite its broad practical applications such as in fraud prevention, open-set speaker
identification (OSI) has received less attention in the speaker recognition community …

The purpose of forensic voice comparison is to assist a court of law in deciding whether the
voices on two (or more) recordings were produced by the same speaker or by different …

This work presents a resource-efficient solution for the spoken dialect recognition task under
semi-open set evaluation scenarios, where a closed set model is exposed to unknown class …

Sažetak One of the most difficult speech recognition tasks is accurate recognition of human-
to-human communication. Advances in deep learning over the last few years have produced …

Observational approaches may limit researchers' ability to comprehensively capture
preschool classroom conversations, including the use of wh-words. In the current proof-of …

This study explored the potential of adopting speech-to-text recognition (STR) technology for
English as a foreign language (EFL) oral training in class at the university level. An action …

Speaker recognition is a method which recognise a speaker from characteristics of a voice.
Speaker recognition technologies have been widely used in many domains. Most speaker …