NIST has coordinated annual evaluations of textindependent speaker recognition since
1996. During the course of this series of evaluations there have been notable milestones …

Language modeling for large-vocabulary conversational Arabic speech recognition is faced
with the problem of the complex morphology of Arabic, which increases the perplexity and …

Dysarthric speech recognition is a highly challenging task. The articulatory motor control
problems associated with neuromotor conditions produce large mismatch against normal …

In this contribution we examine large speech corpora of prepared broadcast and
spontaneous telephone speech in American English and in French. Starting with the …

Fundamental modelling differences between hybrid and end-to-end (E2E) automatic speech
recognition (ASR) systems create large diversity and complementarity among them. This …

This paper describes the progress made in the transcription of broadcast news (BN) and
conversational telephone speech (CTS) within the combined BBN/LIMSI system from May …

Although speech is in almost any situation spontaneous, recognition of spontaneous speech
is an area which has only recently emerged in the field of automatic speech recognition …

We present a new light supervision method to derive additional acoustic training data
automatically for broadcast news transcription systems. A subset of the TDT corpus, which …

Although speech, derived from reading texts, and similar types of speech, eg that from
reading newspapers or that from news broadcast, can be recognized with high accuracy …

The existing service discovery infrastructure with UDDI as the de facto standard, is limited in
that it does not support more complex searching based on matching business processes …