Identification of the language used in spoken utterances is useful for multiple applications,
eg, assist in directing or automating telephone calls, or selecting which language-specific …

In multi-lingual societies, where multiple languages are spoken in a small geographic
vicinity, informal conversations often involve mix of languages. Existing speech technologies …

This paper describes the submissions of team TalTech-IRIT-LIS to the DISPLACE 2024
challenge. Our team participated in the speaker diarization and language diarization tracks …

The DIarization of SPeaker and LAnguage in Conversational Environments (DISPLACE)
2024 challenge is the second in the series of DISPLACE challenges, which involves tasks of …

This research investigates the utilization of the Natural Language Processing-based
WHISPER model for decoding chicken vocalizations, with the goal of comprehending the …

Current Multilingual ASR models only support a fraction of the world's languages. Continual
Learning (CL) aims to tackle this problem by adding new languages to pre-trained models …

We present a method to personalize large transformer-based encoder-decoder speech
foundation models without the need for changes in the underlying model structure or training …