We summarize the results of a host of efforts using giant automatic speech recognition (ASR)
models pre-trained using large, diverse unlabeled datasets containing approximately a …

The process of detecting language from an audio clip by an unknown speaker, regardless of
gender, manner of speaking, and distinct age speaker, is defined as spoken language …

Many speech applications require understanding aspects beyond the words being spoken,
such as recognizing emotion, detecting whether the speaker is wearing a mask, or …

In this modern era, language has no geographic boundary. Therefore, for developing an
automated system for search engines using audio, tele-medicine, emergency service via …

With the recent advancements in the fields of machine learning and artificial intelligence,
spoken language identification-based applications have been increasing in terms of the …

Abstract Spoken Language Identification (SLID) is a fairly well researched field. It has
already been established as a significant first step in all multilingual speech recognition …

This era is dominated by artificial intelligence and its various applications-one of which is
Spoken Language Identification (S-LID) which has always been a challenging issue and an …

Spoken language Identification (LID) systems are needed to identify the language (s)
present in a given audio sample, and typically could be the first step in many speech …

Identifying the language spoken in an audio source is the difficult task of automatic language
identification (LID) in speech processing. Short audio segments pose a significant challenge …

In this paper, i-vector and x-vector is used to extract the features from speech signal from
local Indonesia languages, namely Javanese, Sundanese and Minang languages to help …