Automatic spoken Language IDentification (LID) is the task of identifying the language from
a short duration of speech signal uttered by an unknown speaker. In this work, an attempt …

Spoken language change detection (LCD) refers to detecting language switching points in a
multilingual speech signal. Most approaches in literature use the explicit framework that …

This work focuses on the development of speech data comprising 23 Indian languages for
develo** language identification (LID) systems. Large data is a pre-requisite for …

Most of the Indian languages are originated from Devanagari, the script of the Sanskrit
language. In-spite of similarity in phoneme sets, every language its own influence on the …

Automatic identification of a language in a noisy environment is a challenging task.
Performance of a language identification system depends on the quality of the input speech …

In this paper, new efforts to build text-to-speech synthesis systems (TTS) for Indian
languages is presented. The synthesisers are built around both concatenative speech …

This work demonstrates the usefulness of multiple frame size and rate (MFSR) analysis for
speaker recognition under limited data condition. Present day speaker recognition systems …

The performance of the speech recognition system depends on the local conditions within
an utterance for each speaker. It is important to capture this local variation within an …

The use of spoken language diarization (LD) as a preprocessing system might be essential
in a code-switched (CS) scenario. Furthermore, implicit frameworks are preferable to explicit …

Spoken language diarization (LD) and related tasks are mostly explored using the
phonotactic approach. Phonotactic approaches mostly use explicit way of language …