Spoken language recognition refers to the automatic process through which we determine
or verify the identity of the language spoken in a speech sample. We study a computational …

We have compared the performance of four approaches for automatic language
identification of speech utterances: Gaussian mixture model (GMM) classification; single …

We propose a novel approach to automatic spoken language identification (LID) based on
vector space modeling (VSM). It is assumed that the overall sound characteristics of all …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

It is well known that speaker variability caused by accent is one factor that degrades
performance of speech recognition algorithms. If knowledge of speaker accent can be …

Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech
processing from a multilingual perspective. By taking this all-inclusive approach to speech …

Automatic language identification of speech is the process by which the language of a
digitized speech utterance is recognized by a computer. In this paper, we will describe the …

Social media services such as Twitter offer an immense volume of real-world linguistic data.
We explore the use of Twitter to obtain authentic user-generated text in low-resource …

In a multi-language Information Retrieval setting, the knowledge about the language of a
user query is important for further processing. Hence, we compare the performance of some …

Western countries entertain speech recognition-based applications. It does not happen in a
similar magnitude in East Asia. Language complexity could potentially be one of the primary …