Stochastic signal models represent a powerful tool for automatic speech recognition. A particular... more Stochastic signal models represent a powerful tool for automatic speech recognition. A particular type of stochastic modeling based on first-order hidden Markov models (HMMs), has been increasingly popular, because it has a solid theoretical basis and offers practical advantages. The authors extend the standard HMM theory to parallel hidden Markov models (PHMMs). The parallel model consists of two statistically related
Stochastic signal models represent a powerful tool for automatic speech recognition. A particular... more Stochastic signal models represent a powerful tool for automatic speech recognition. A particular type of stochastic modeling based on first-order hidden Markov models (HMMs), has been increasingly popular, because it has a solid theoretical basis and offers practical advantages. The authors extend the standard HMM theory to parallel hidden Markov models (PHMMs). The parallel model consists of two statistically related
Recherche d'Information Assistee par Ordinateur, 2000
This paper presents the development of an Italian broadcast news transcription system, to beappli... more This paper presents the development of an Italian broadcast news transcription system, to beapplied for the indexing of multimedia archives. Moreover, a broadcast news corpus under collectionat ITC-irst is introduced. The system processes the input audio stream in four stages. The firstone performs audio segmentation via the Bayesian Information Criterion (BIC) and classification byGaussians mixtures modeling. The second stage groups
Stochastic signal models represent a powerful tool for automatic speech recognition. A particular... more Stochastic signal models represent a powerful tool for automatic speech recognition. A particular type of stochastic modeling based on first-order hidden Markov models (HMMs), has been increasingly popular, because it has a solid theoretical basis and offers practical advantages. The authors extend the standard HMM theory to parallel hidden Markov models (PHMMs). The parallel model consists of two statistically related
Stochastic signal models represent a powerful tool for automatic speech recognition. A particular... more Stochastic signal models represent a powerful tool for automatic speech recognition. A particular type of stochastic modeling based on first-order hidden Markov models (HMMs), has been increasingly popular, because it has a solid theoretical basis and offers practical advantages. The authors extend the standard HMM theory to parallel hidden Markov models (PHMMs). The parallel model consists of two statistically related
Recherche d'Information Assistee par Ordinateur, 2000
This paper presents the development of an Italian broadcast news transcription system, to beappli... more This paper presents the development of an Italian broadcast news transcription system, to beapplied for the indexing of multimedia archives. Moreover, a broadcast news corpus under collectionat ITC-irst is introduced. The system processes the input audio stream in four stages. The firstone performs audio segmentation via the Bayesian Information Criterion (BIC) and classification byGaussians mixtures modeling. The second stage groups
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Papers by D. Giuliani