Languages usually switch within a multilingual speech signal, especially in a bilingual
society. This phenomenon is referred to as code-switching (CS), making automatic speech …

Code-switching (CS) occurs when languages switch within a speech signal and leads to
language confusion for automatic speech recognition (ASR). We address the problem of …

Code-switching (CS) refers to the switching of languages within a speech signal and results
in language confusion for automatic speech recognition (ASR). To address language …

To enhance the reliability and robustness of language identification (LID) and language
diarization (LD) systems for heterogeneous populations and scenarios, there is a need for …

This work addresses the cross-corpora generalization issue for the low-resourced spoken
language identification (LID) problem. We have conducted the experiments in the context of …

Phoneme boundary detection has been studied due to its central role in various speech
applications. In this work, we point out that this task needs to be addressed not only by …

This paper compares different neural network based architectures on the spoken language
identification task. To our best knowledge such a comparison of different models on the …

We introduce TitaNet-LID, a compact end-to-end neural network for Spoken Language
Identification (LID) that is based on the ContextNet architecture. TitaNet-LID employs 1D …

Accent recognition (AR) is challenging due to the lack of training data as well as the accents
are entangled with speakers and regional characteristics. This paper aims to improve AR …

Language development experts need tools that can automatically identify languages from
fluent, conversational speech, and provide reliable estimates of usage rates at the level of …