Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …

Abstract Native Language Identification (NLI) is the task of automatically identifying the
native language (L1) of an individual based on their language production in a learned …

In this paper, we present an in-depth study on the classification of regional accents in
Mandarin speech. Experiments are carried out on Mandarin speech data systematically …

The potential of speech as a non-invasive biomarker to assess a speaker's health has been
repeatedly supported by the results of multiple works, for both physical and psychological …

Native language identification (NLI) is the task of identifying the first language of a user
based on their speech or written text in a second language. In this paper, we propose the …

In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for
dialect identification. The spectrum derived using SFF has high spectral resolution for …

Automatic identification of speakers' native language (L1) based on their speech in a second
language (L2) is a challenging research problem that can aid several spoken language …

Identification of the native language from speech segment of a second language utterance,
that is manifested as a distinct pattern of articulatory or prosodic behavior, is a challenging …

In this paper, we propose to use novel acoustic features, namely zero-time windowing
cepstral coefficients (ZTWCC) for dialect classification. ZTWCC features are derived from …

Identifying a speaker's native language with his speech in a second language is useful for
many human-machine voice interface applications. In this paper, we use a sub-phone …