Broadcast News workshop, Virginia, February 28-March 3, 1999. E. Fosler-Lussier and G. Williams. Not just what but also when: guided automatic pronunciation modeling for broadcast news. In...
Knowing What You Don't Know: Roles for Confidence Measures in Automatic Speech Recognition (2007)
The development of reliable measures of confidence for the decoding of speech sounds by machine has the potential to greatly enhance the `state-of-the-art ' in the field of automatic speech...
An Overview of the SPRACH System for the Transcription of Broadcast News (1999)
Cook, Gary, Christie, James, Ellis, Dan, Fosler-Lussier, Eric, Gotoh, Yoshihiko, Kingsbury, Brian, ...
This paper describes the SPRACH system developed for the 1998 Hub-4E broadcast news evaluation. The system is based on the connectionist-HMM framework and uses both recurrent neural network and...
Named entity tagged language models. (1999)
Gotoh, Yoshihiko, Renals, Steve, Williams, Gethin
We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our...
Confidence measures from local posterior probability estimates (1999)
Williams, Gethin, Renals, Steve
In this paper we introduce a set of related confidence measures for large vocabulary continuous speech recognition (LVCSR) based on local phone posterior probability estimates output by an acceptor...
An Overview of the SPRACH System for the Transcription of Broadcast News (1999)
Cook, Gary, Christie, James, Ellis, Dan, Fosler-Lussier, Eric, Gotoh, Yoshihiko, Kingsbury, Brian, ...
This paper describes the SPRACH system developed for the 1998 Hub-4E broadcast news evaluation. The system is based on the connectionist-HMM framework and uses both recurrent neural network and...
Named entity tagged language models. (1999)
Gotoh, Yoshihiko, Renals, Steve, Williams, Gethin
We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our...
Confidence measures from local posterior probability estimates (1999)
Williams, Gethin, Renals, Steve
In this paper we introduce a set of related confidence measures for large vocabulary continuous speech recognition (LVCSR) based on local phone posterior probability estimates output by an acceptor...
Not just what, but also when: Guided automatic Pronunciation Modeling for Broadcast News (1999)
Eric Fosler-lussier, Gethin Williams
In this paper, we describe improvements to the pronunciation model featured in the 1998 SPRACH Broadcast News evaluation system. Various smoothing and pruning techniques and the integration of...
Named Entity Tagged Language Models (1999)
Yoshihiko Gotoh, Steve Renals, Gethin Williams
stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our approach to NE tagged language model (LM) generation...
Not just what, but also when: Guided automatic pronunciation modeling for Broadcast News (1999)
Eric Fosler-lussier, Gethin Williams
In this paper, we describe improvements to the pronunciation model featured in the 1998 SPRACH Broadcast News evaluation system. Various smoothing and pruning techniques and the integration of...
An Overview of the SPRACH System for the Transcription of Broadcast News (1999)
Gary Cook, James Christie, Dan Ellis, Eric Fosler-lussier, Yoshi Gotoh, Brian Kingsbury, ...
This paper describes the SPRACH system developed for the 1998 Hub-4E broadcast news evaluation. The system is based on the connectionist-HMM framework and uses both recurrent neural network and...
Not just what, but also when: Guided automatic pronunciation modeling for Broadcast News (1999)
Eric Fosler-lussier, Gethin Williams
In this paper, we describe improvements to the pronunciation model featured in the 1998 SPRACH Broadcast News evaluation system. Various smoothing and pruning techniques and the integration of...
Named Entity Tagged Language Models (1999)
Yoshihiko Gotoh, Steve Renals, Gethin Williams
We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our...
Sprach System For, Gary Cook, James Christie, Dan Ellis, Eric Fosler-lussier, Yoshi Gotoh, ...
This paper describes the SPRACH system developed for the 1998 Hub-4E broadcast news evaluation. The system is based on the connectionist-HMM framework and uses both recurrent neural network and...
Speech/music Discrimination Based On Posterior Probability Features (1999)
A hybrid connectionist-HMM speech recognizer uses a neural network acoustic classifier. This network estimates the posterior probability that the acoustic feature vectors at the current time step...
Confidence Measures From Local Posterior Probability Estimates (1999)
In this paper we introduce a set of related confidence measures for large vocabulary continuous speech recognition (LVCSR) based on local phone posterior probability estimates output by an acceptor...
Confidence Measures from Local Posterior Probability Estimates (1999)
g.williams,s.renals¡
Confidence Measures Derived from an Acceptor HMM (1998)
Williams, Gethin, Renals, Steve
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate their performance for the task of utterance verification using the North American Business News (NAB)...
Acoustic Confidence Measures for Segmenting Broadcast News (1998)
Barker, Jon, Williams, Gethin, Renals, Steve
In 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...
Confidence Measures Derived from an Acceptor HMM (1998)
Williams, Gethin, Renals, Steve
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate their performance for the task of utterance verification using the North American Business News (NAB)...
Acoustic Confidence Measures for Segmenting Broadcast News (1998)
Barker, Jon, Williams, Gethin, Renals, Steve
In 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...
Confidence Measures for Evaluating Pronunciation Models (1998)
Williams, Gethin, Renals, Steve
In this paper, we investigate the use of confidence measures for the evaluation of pronunciation models and the employment of these evaluations in an automatic baseform learning process. The...
Confidence Measures for Evaluating Pronunciation Models (1998)
Williams, Gethin, Renals, Steve
In this paper, we investigate the use of confidence measures for the evaluation of pronunciation models and the employment of these evaluations in an automatic baseform learning process. The...
Confidence Measures For Evaluating Pronunciation Models (1998)
this paper, we investigate the use of confidence measures for the evaluation of pronunciation models. The confidence measures and pronunciation models are obtained from the ABBOT hybrid Hidden Markov...
Confidence Measures for Evaluating Pronunciation Models (1998)
In this paper, we investigate the use of confidence measures for the evaluation of pronunciation models and the employment of these evaluations in an automatic baseform learning process. The...
Confidence measures have been found to be useful for a number tasks within the field of Automatic Speech Recognition (ASR). For example, the use of confidence measures has been reported in the...
A Study of the Use and Evaluation of Confidence Measures in Automatic Speech Recognition (1998)
Confidence measures have been found to be useful for a number tasks within the field of Automatic Speech Recognition (ASR). For example, the use of confidence measures has been reported in the...
Confidence Measures Derived From An Acceptor HMM (1998)
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate their performance for the task of utterance verification using the North American Business News (NAB)...
Confidence measures for evaluating pronunciation models (1998)
In this paper, we investigate the use of confidence measures for the evaluation of pronunciation models and the employment of these evaluations in an automatic baseform learning process. The...
Confidence measures derived from an acceptor HMM (1998)
In this paper we define a number of confidence measures derived from an acceptor HMM and evaluate their performance for the task of utterance verification using the North American Business News (NAB)...
Confidence measures for hybrid HMM/ANN speech recognition. (1997)
Williams, Gethin, Renals, Steve
In this paper we introduce four acoustic confidence measures which are derived from the output of a hybrid HMM/ANN large vocabulary continuous speech recognition system. These confidence measures,...
Confidence measures for hybrid HMM/ANN speech recognition. (1997)
Williams, Gethin, Renals, Steve
In this paper we introduce four acoustic confidence measures which are derived from the output of a hybrid HMM/ANN large vocabulary continuous speech recognition system. These confidence measures,...
Confidence Measures for Hybrid HMM/ANN Speech Recognition (1997)
In this paper we introduce four acoustic confidence measures which are derived from the output of a hybrid HMM/ANN large vocabulary continuous speech recognition system. These confidence measures,...
Confidence measures for hybrid HMM/ANN speech recognition (1997)
In this paper we introduce four acoustic confidence measures which are derived from the output of a hybrid HMM/ANN large vocabulary continuous speech recognition system. These confidence measures,...