Add to ORKGIn this paper we define an acoustic confidence measure based on the estimates of local posterior probabilities produced by a HMM/ANN large vocabulary continuous speech recognition system. We use this measure to segment continuous audio into regions where it is and is not appropriate to expend recognition effort. The segmentation is computationally inexpensive and provides reductions in both overall word error rate and decoding time. The technique is evaluated using material from the Broadcast News corpus. 1
Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals with...
En reconnaissance automatique de la parole, les mesures de confiance tentent d'estimer la confiance ...
Confidence measures have been found to be useful for a number tasks within the field of Automatic Sp...
In this paper we define an acoustic confidence measure based on the estimates of local posterior pro...
In this paper we introduce four acoustic confidence measures which are derived from the output of a ...
In this paper, we describe our work on the field of confidence measures for HMM-based speech recogni...
In this paper we introduce a set of related confidence measures for large vocabulary continuous spee...
This paper investigates the issue of automatic segmentation of speech recordings for broadcast news ...
In this thesis, the use of word posterior probabilities for large vocabulary continuous speech recog...
In this paper we introduce a set of related confidence measures for large vocabulary continuous spee...
In automatic speech recognition, confidence measures aim at estimating the confidence we can give to...
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate th...
1999 The development of reliable measures of confidence for the decoding of speech sounds by machine...
In automatic speech recognition, confidence measures aim at estimating the confidence we can give to...
In HMM-based recognition systems for large vocabulary, the observation likelihoods provided by the a...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals with...
En reconnaissance automatique de la parole, les mesures de confiance tentent d'estimer la confiance ...
Confidence measures have been found to be useful for a number tasks within the field of Automatic Sp...
In this paper we define an acoustic confidence measure based on the estimates of local posterior pro...
In this paper we introduce four acoustic confidence measures which are derived from the output of a ...
In this paper, we describe our work on the field of confidence measures for HMM-based speech recogni...
In this paper we introduce a set of related confidence measures for large vocabulary continuous spee...
This paper investigates the issue of automatic segmentation of speech recordings for broadcast news ...
In this thesis, the use of word posterior probabilities for large vocabulary continuous speech recog...
In this paper we introduce a set of related confidence measures for large vocabulary continuous spee...
In automatic speech recognition, confidence measures aim at estimating the confidence we can give to...
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate th...
1999 The development of reliable measures of confidence for the decoding of speech sounds by machine...
In automatic speech recognition, confidence measures aim at estimating the confidence we can give to...
In HMM-based recognition systems for large vocabulary, the observation likelihoods provided by the a...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals with...
En reconnaissance automatique de la parole, les mesures de confiance tentent d'estimer la confiance ...
Confidence measures have been found to be useful for a number tasks within the field of Automatic Sp...