We present a structured overview of adaptation algorithms for neural network-based speech
recognition, considering both hybrid hidden Markov model/neural network systems and end …

Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer
speech recognition, has been an active field of research recently. This study aims to chart …

This paper investigates the use of automatically collected web audio data for the task of
spoken language recognition. We generate semi-random search phrases from language …

Abstract Code-switching (CS), defined as the mixing of languages in conversations, has
become a worldwide phenomenon. The prevalence of CS has been recently met with a …

Recent advancements in Large Language Models (LLMs) have significantly influenced the
landscape of language and speech research. Despite this progress, these models lack …

Recent advances in automatic speech recognition (ASR) have achieved accuracy levels
comparable to human transcribers, which led researchers to debate if the machine has …

Abstract Recent advancements in Large Language Models (LLMs) have significantly
influenced the landscape of language and speech research. Despite this progress, these …

In this paper, we describe a method to collect dialectal speech from YouTube videos to
create a large-scale Dialect Identification (DID) dataset. Using this method, we collected …

With the advent of globalization, there is an increasing demand for multilingual automatic
speech recognition (ASR), handling language and dialectal variation of spoken content …

This paper introduces the fifth oriental language recognition (OLR) challenge AP20-OLR,
which intends to improve the performance of language recognition systems, along with …