Over the past decades, a tremendous amount of research has been done on the use of
machine learning for speech processing applications, especially speech recognition …

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 …

Abstract Machine learning methods are extensively used for processing and analysing
speech signals by virtue of their performance gains over multiple domains. Deep learning …

US9196243B2 - Method and system for efficient spoken term detection using confusion
networks - Google Patents US9196243B2 - Method and system for efficient spoken term …

This paper examines a query-by-example approach to spoken term detection in audio files.
The approach is designed for low-resource situations in which limited or no in-domain …

Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …

Podcasts are spoken documents across a wide-range of genres and styles, with growing
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …

Following recent advancements in deep learning and artificial intelligence, spoken
language identification applications are playing an increasingly significant role in our day-to …

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 …

Speech media, that is, digital audio and video containing spoken content, has blossomed in
recent years. Large collections are accruing on the Internet as well as in private and …