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

Recently there has been increased interest in Automatic Speech Recognition (ASR) and
Key Word Spotting (KWS) systems for low resource languages. One of the driving forces for …

Recently there has been interest in the approaches for training speech recognition systems
for languages with limited resources. Under the IARPA Babel program such resources have …

The development of high-performance speech processing systems for low-resource
languages is a challenging area. One approach to address the lack of resources is to make …

Spoken content in languages of emerging importance needs to be searchable to provide
access to the underlying information. In this paper, we investigate the problem of extending …

This paper presents the progress of acoustic models for lowresourced languages
(Assamese, Bengali, Haitian Creole, Lao, Zulu) developed within the second evaluation …

We present the IBM speech activity detection system that was fielded in the phase 2
evaluation of the DARPA RATS (robust automatic transcription of speech) program. Key …

Keyword spotting (KWS) for low-resource languages has drawn increasing attention in
recent years. The state-of-the-art KWS systems are based on lattices or Confusion Networks …

Develo** high-performance speech processing systems for low-resource languages is
very challenging. One approach to address the lack of resources is to make use of data from …

This paper investigates the application of hierarchical MRASTA bottleneck (BN) features for
under-resourced languages within the IARPA Babel project. Through multilingual training of …