Context-dependent units for vocabulary-independent Spanish speech recognition

Villarrubia, Luis; Gomez, L.H.; Elvira, J.M.; Torrecilla, Juan Carlos

doi:10.1109/icassp.1996.541130

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…El uso de unidades básicas del modelo acústico independientes del contexto permitió lograr porcentajes de reconocimiento (97,87%) similares a los que se publican en la literatura (98,50%) con unidades dependientes del contexto (Villarrubia et al, 1996). El uso de unidades independientes del contexto posibilitó el empleo de modelos semi-continuos (SC-HMM) asociados a cada uno de los monofonos.…”

Section: Conclusionesunclassified

Reconocedor de habla continua independiente del contexto para el español de Argentina

Univaso

Gurlekian²,

Evin³

2009

Rev. Clepsidra

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Section: Conclusionesunclassified

Reconocedor de habla continua independiente del contexto para el español de Argentina

Univaso

Gurlekian²,

Evin³

2009

Rev. Clepsidra

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“…At Telefónica I+D, a speech recognition system over the telephone network has been developed, handling about one thousand words in real time with dedicated hardware [1]. We have implemented a hypothesis subsystem, to be run before the integrated module, to allow increasing dictionary size (without loosing too much recognition accuracy); or increasing the number of recognizers that fit into one hardware board.…”

Section: System Overviewmentioning

confidence: 99%

Recent work on a preselection module for a flexible large vocabulary speech recognition system in telephone environment

Ferreiros¹,

Guarasa²,

Gallardo-Antolín³

et al. 1998

5th International Conference on Spoken Language Processing (ICSLP 1998)

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At ICSLP'96 we presented a flexible, large vocabulary, speaker independent, isolated-word preselection system in a telephone environment, using a two stage, bottom-up strategy [6]. We achieved reasonable performance in large and very large vocabulary tasks, ranging from 1200 to 10000 words.In this paper, we describe recent studies we have carried out on the system, aimed at two directions: handling of non speech sounds in the speech signal (we consider lips, respiration and click noises); and making the preselection lists dynamic in length, to reduce computational load, in the average. In the first case, we want to model non speech sounds, as these effects are crucial in real-life situations, leading to wrong endpointing and increasing error rates. In the second, we are interested in integrating any available system parameter to calculate the preselection list length to use, having applied both parametric and non parametric methods.

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“…At Telefónica I+D, a speech recognition system over the telephone network has been developed, handling about one thousand words in real time with dedicated hardware [1].…”

Section: Introductionmentioning

confidence: 99%

Initial evaluation of a preselection module for a flexible large vocabulary speech recognition system in telephone environment

Macías-Guarasa

Gallardo²,

Ferreiros³

et al.

Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96

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We are improving a flexible, large vocabulary, speaker independent, isolated-word recognition system in a telephone environment, originally designed as an integrated system doing all the recognition process in one step. We have transformed it, by adopting the hypothesis-verification paradigm.In this paper, we will describe the architecture and results of the hypothesis subsystem. We will show the system evolution and the modifications adopted to face such a difficult task, achieving significant improvements using automatically clustered phonemelike units, semi-continuous HMMs, and multiple models per unit. Also, system behavior for vocabulary dependent and independent tasks and vocabularies up to 10000 words will be tested.

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Context-dependent units for vocabulary-independent Spanish speech recognition

Cited by 9 publications

References 5 publications

Reconocedor de habla continua independiente del contexto para el español de Argentina

Reconocedor de habla continua independiente del contexto para el español de Argentina

Recent work on a preselection module for a flexible large vocabulary speech recognition system in telephone environment

Initial evaluation of a preselection module for a flexible large vocabulary speech recognition system in telephone environment

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