Search Results - "Bahl, L.R."

Decision trees for phonological rules in continuous speech by Bahl, L.R., deSouza, P.V., Gopalakrishnan, P.S., Nahamoo, D., Picheny, M.A.

“…The authors present an automatic method for modeling phonological variation using decision trees. For each phone they construct a decision tree that specifies…”
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Robust methods for using context-dependent features and models in a continuous speech recognizer by Bahl, L.R., de Souza, P.V., Gopalakrishnan, P.S., Nahamoo, D., Picheny, M.A.

“…In this paper we describe the method we use to derive acoustic features that reflect some of the dynamics of frame-based parameter vectors. Models for such…”
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A tree search strategy for large-vocabulary continuous speech recognition by Gopalakrishnan, P.S., Bahl, L.R., Mercer, R.L.

“…We describe a tree search strategy, called the Envelope Search, which is a time-asynchronous search scheme that combines aspects of the A* heuristic search…”
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Speech recognition performance on a voicemail transcription task by Padmanabhan, M., Eide, E., Ramabhadran, B., Ramaswamy, G., Bahl, L.R.

“…We describe a new testbed for developing speech recognition algorithms-the ARRPA-sponsored voicemail transcription task, analogous to other tasks such as the…”
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Acoustics-only based automatic phonetic baseform generation by Ramabhadran, B., Bahl, L.R., deSouza, P.V., Padmanabhan, M.

“…Phonetic baseforms are the basic recognition units in most speech recognition systems. These baseforms are usually determined by linguists once a vocabulary is…”
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A discriminant measure for model complexity adaptation by Bahl, L.R., Padmanabhan, M.

“…We present a discriminant measure that can be used to determine the model complexity in a speech recognition system. In the speech recognition process, given a…”
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Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems by Padmanabhan, M., Bahl, L.R., Nahamoo, D., Picheny, M.A.

“…A speaker adaptation strategy is described that is based on finding a subset of speakers, from the training set, who are acoustically close to the test…”
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Experiments using data augmentation for speaker adaptation by Bellegarda, J.R., de Souza, P.V., Nahamoo, D., Padmanabhan, M., Picheny, M.A., Bahl, L.R.

“…Speaker adaptation typically involves customizing some existing (reference) models in order to account for the characteristics of a new speaker. This work…”
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Discriminative training of Gaussian mixture models for large vocabulary speech recognition systems by Bahl, L.R., Padmanabhan, M., Nahamoo, D., Gopalakrishnan, P.S.

“…Two discriminative techniques are described (and evaluated) for estimating the parameters of the Gaussians in a large vocabulary speech-recognition system. The…”
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Constructing candidate word lists using acoustically similar word groups by Bahl, L.R., de Souza, P.V., Gopalakrishnan, P.S., Kanevsky, D.S., Nahamoo, D.

“…A method for identifying a set of candidate words that matches well with a given utterance is discussed. The method uses precomputed groups of acoustically…”
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A new algorithm for the estimation of hidden Markov model parameters by Bahl, L.R., Brown, P.F., de Souza, P.V., Mercer, R.L.

“…Discusses the problem of estimating the parameter values of hidden Markov word models for speech recognition. The authors argue that maximum-likelihood…”
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Speech recognition with continuous-parameter hidden Markov models by Bahl, L.R., Brown, P.F., de Souza, P.V., Mercer, R.L.

“…The acoustic-modelling problem in automatic speech recognition is examined from an information theoretic point of view. This problem is to design a…”
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Acoustic Markov models used in the Tangora speech recognition system by Bahl, L.R., Brown, P.F., de Souza, P.V., Picheny, M.A.

“…The Speech Recognition Group at IBM Research has developed a real-time, isolated-word speech recognizer called Tangora, which accepts natural English sentences…”
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Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task by Bahl, L.R., Balakrishnan-Aiyer, S., Bellgarda, J.R., Franz, M., Gopalakrishnan, P.S., Nahamoo, D., Novak, M., Padmanabhan, M., Picheny, M.A., Roukos, S.

“…In this paper we discuss various experimental results using our continuous speech recognition system on the Wall Street Journal task. Experiments with…”
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Context dependent vector quantization for continuous speech recognition by Bahl, L.R., de Souza, P.V., Gopalakrishnan, P.S., Picheny, M.A.

“…The authors present a method for designing a vector quantizer for speech recognition that uses decision networks constructed by examining the phonetic context…”
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Speaker clustering and transformation for speaker adaptation in speech recognition systems by Padmanabhan, M., Bahl, L.R., Nahamoo, D., Picheny, M.A.

“…A speaker adaptation strategy is described that is based on finding a subset of speakers, from the training set, who are acoustically close to the test…”
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Automatic phonetic baseform determination by Bahl, L.R., Das, S., deSouza, P.V., Epstein, M., Mercer, R.L., Merialdo, B., Nahamoo, D., Picheny, M.A., Powell, J.

“…The authors describe a series of experiments in which the phonetic baseform is deduced automatically for new words by utilizing actual utterances of the new…”
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A supervised approach to the construction of context-sensitive acoustic prototypes by Bellegarda, J.R., de Souza, P.V., Nahamoo, D., Picheny, M.A., Bahl, L.R.

“…The authors describe a supervised approach to the construction of context-sensitive acoustic prototypes for use in speech recognition systems using allophonic…”
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Partitioning the feature space of a classifier with linear hyperplanes by Padmanabhan, M., Bahl, L.R., Nahamoo, D.

“…We describe the design and use of linear hyperplanes to partition the feature space of a classifier. The objective of the partitioning is to minimize the…”
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Constructing groups of acoustically confusable words by Bahl, L.R., de Souza, P., Gopalakrishnan, P.S., Kanevsky, D., Nahamoo, D.

“…Method for constructing groups of acoustically similar words in a large vocabulary speech recognition system are studied. The study is based on the idea that…”
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